GENETIKA, Vol. 55, No.3 (2023)

 

Rangel DRAGOV

HETEROSIS OF SOME MORPHOLOGICAL AND GRAIN QUALITY TRAITS IN WINTER DURUM WHEAT [Abstract] [Full text]

 

Ujala BAIRWA, B.R. CHOUDHARY, Rahul BHARDWAJ

IDENTIFYING PROMINENT GENOTYPES AND YIELD CONTRIBUTING TRAITS IN FINGER MILLET (Eleusine coracana L.) [Abstract] [Full text]

 

Arshpreet KAUR, Rahul KAPOOR, Anu KALIA

POLYPLOIDISATION EFFECT ON TRICHOME DENSITY IN INTERSPECIFIC HYBRIDS OF Pennisetum glaucum (L.) R. BR. × Pennisetum purpureum (K.) SCHUM [Abstract] [Full text

Fatma KAYACETİN, Oguzhan AYDİN, Sefa UNAL, Khalid Mahmood KHAWAR

determınatıon of the growth and yield traits of some MUSTARD specıes under SEMI-ARID CENTRAL ANATOLIAN CONDITIONS [Abstract] [Full text]

Sevda BABAYEVA, Turana HASANOVA, Almas ASADOVA, Afat MAMMADOVA, Vusala IZZATULLAYEVA, Jale NASIBOVA, Parvana MANAFOVA, Elchin HAJIYEV, Mehraj ABBASOV

STUDY OF GENETIC DIVERSITY AND SEARCH FOR ANTHRACNOSE RESISTANCE ALLELES IN COMMON BEAN (Phaseolus vulgaris L.) GENOTYPES CULTIVATED IN AZERBAIJAN [Abstract] [Full text]

 

Matúš KYSEĽ, Lucia URBANOVÁ, Jana BILČÍKOVÁ, Jana ŽIAROVSKÁ

PEDIGREE INFORMATION SHARED IN APPLE ALLERGENS TRANSCRIPTIONAL ACTIVITY [Abstract] [Full text]

Hardeep KAUR, Rajinder Kumar DHALL, Priti SHARMA

UTILIZING GENETIC VARIABILITY PARAMETERS OF GARDEN PEA (Pisum sativum L.) GERMPLASM FOR YIELD AND QUALITY TRAITS [Abstract] [Full text]

 

Todorka A. SREBCHEVA and Milena L. KOSTOVA

INVESTIGATION ON GENETIC DIVERSITY OF PEPPER (Capsicum spp.) PARENTS AND INTERSPECIFIC HYBRIDS USING ISSR MARKERS [Abstract] [Full text]

 

Tuty ARISURYANTI, Ardan Putra Saleh HUTASUHUT, Johan Putra KOENTJANA, Katon Waskito AJI, Dwi Sendi PRIYONO

MOLECULAR SPECIES IDENTIFICATION OF ROCKSKIPPER (PISCES: BLENNIIDAE) FROM POROK BEACH (YOGYAKARTA, INDONESIA) BASED ON 16S rRNA and COI GENES [Abstract] [Full text]

Vennampally NATARAJ, Sanjay GUPTA, Kunwar Harendra SINGH, Maranna SHIVAKUMAR, Gyanesh Kumar SATPUTE, Nargund RAGHAVENDRA, Giriraj KUMAWAT, Savita KOHLE, Nisha AGRAWAL, Vangala RAJESH, B.S GILL, Anuradha BHARTIYA, Vedna KUMARI, S.K LAL, K.P. SINGH, S.B. GUPTA7, Nutan VERMA, Satish NICHAL, Manoj Kumar SHRIVASTAVA, Shivaji Pandurang MEHETRE, Jagendra SINGH, Chandra Prakesh SINGH, Rajendar REDDY, T. ONKARAPPA, Milind Panjabrao DESHMUKH, Santosh A.  JAYBHAY, Heisnam Nanita DEVI

MULTI-TRAIT SELECTION FOR MEAN PERFORMANCE AND STABILITY AMONG SOYBEAN GENOTYPES EVALUATED UNDER RAINFED CONDITIONS ACROSS DIVERSE ENVIRONMENTS IN INDIA [Abstract] [Full text] [Supplement]

 

T.L. TYASI and Ş. ÇELIK

ESTIMATION OF BODY WEIGHT FROM MORPHOLOGICAL MEASUREMENTS IN BOER GOATS WITH THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND SOME REGRESSION MODELS [Abstract] [Full text]
 

Velimir MLADENOV, Borislav BANJAC, Sofija PETROVIĆ, Rada ŠUĆUR, Bojan JOCKOVIĆ

MITIGATING ABIOTIC STRESSES: A STUDY ON PANNONIAN BASIN WHEAT CULTIVARS FACING DROUGHT, COLD AND HEAT  [Abstract] [Full text]

 

Gizem KAMCI TEKIN and Behiye Tuba BICER

CHARACTERIZATION IN F1 GENERATION OF KABULI, DESI AND WILD CICER GENOTYPES FOR PLANT TRAITS [Abstract] [Full text]

 

V. SIVAMURUGAN, K.R. UTHAYAN, V. THANIKACHALAM

ENHANCED RETINAL IMAGE CAPTIONING SYSTEM FOR IDENTIFYINGAND DIFFERENTIATING SEVERITY LEVELS OF DIABETIC RETINOPATHY [Abstract] [Full text]

 

Valentin KOSEV, Viliana VASILEVA, Vera POPOVIC

YODAI – A NEW VARIETY OF GRASS PEA (Lathyrus sativus L.) [Abstract] [Full text]

 

Mirjana MILOSEVIC BROCKETT

In memoriam Wyatt Anderson  [Abstract] [Full text]

EDITOR

CORRIGENDUM [Text] [CORRIGENDUM] [Letter]

 



Published in „GENETIKA“ Vol. 55, No3(2023), pp. 795-806

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303795D
Original scientific article

 

 

 

 

HETEROSIS OF SOME MORPHOLOGICAL AND GRAIN QUALITY TRAITS

IN WINTER DURUM WHEAT

 

Rangel DRAGOV

 

Agricultural Academy, Field Crops Institute - Chirpan, Bulgaria

 

Abstract

Dragov R. (2023). Heterosis of some morphological and grain quality traits in winter durum wheat.- Genetika, Vol 55, No.3, 795-806.

The aim of the presented study was to establish mid parent heterosis and better parent heterosis of five quantitative traits related to the productivity and quality of durum wheat. A diallel cross was performed for three consecutive years. Thus, F1 generations are provided for three years. The experiments were conducted in randomized block design in three replications for three consecutive years - 2014, 2015 and 2016. The trials were carried out in the breeding field of the Field Crops Institute, Chirpan according to the accepted technology for growing durum wheat. Mid parent and better parent heterosis of ten durum wheat crosses were determined. The better parent heterosis reached up to -7.4 (-7.61%) for plant height, up to 4.66 (56.30%) for number of productive tillers, up to 1.63 (21.01%) for spike length, up to 2.25 (13.84%) for grain protein content and up to 4.66 (13.92%) for grain wet gluten content. Two valuable combinations showed heterosis on several traits. Progres X Predel indicated better parent heterosis for three of the five traits included in the study. Deni X Progres indicated better parent heterosis for three of the five traits studied. The Progres variety is recommended for use as a mother and as a pollinator, and the Deni variety as a mother in winter durum wheat crossing programs. These varieties and their crosses are suitable for improving the productivity and quality of durum wheat. The obtained results may be applied in the hybrid and combining breeding programs to improve durum wheat.

Keywords durum wheat, grain quality traits, heterosis, morphological traits

 

Corresponding author: Rangel Dragov, Agricultural Academy, Field Crops Institute, Chirpan, Bulgaria, E-mail: dragov1@abv.bg, phone: +359 89 7 066 553

 

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Published in „GENETIKA“ Vol. 55, No. 3 (2023), pp.807-817

© 2023Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303807B
Original scientific article

 

 

IDENTIFYING PROMINENT GENOTYPES AND YIELD CONTRIBUTING TRAITS IN FINGER MILLET (Eleusine coracana L.)

 

Ujala BAIRWA1, B.R. CHOUDHARY2, Rahul BHARDWAJ2*

 

1Department of Genetics and Plant Breeding, College of Agriculture, Jodhpur, Agriculture University, Jodhpur, India

2Genetics and Plant Breeding, ARS, Mandor, Agriculture University, Jodhpur, India

 

Abstract

Bairwa U., B.R. Choudhary, R. Bhardwaj (2023). Identifying prominent genotypes and yield contributing traits in finger millet (Eleusine coracana L.). - Genetika, Vol 55, No.3, 807-817.

The knowledge about genetic variability and determining the criteria for employing effective selection is always prerequisite to develop a sound breeding programme. Therefore, the present experiment was conducted with 35 genotypes of finger millet in Randomized Block Design (RBD) with three (03) replications and observations were recorded for morphological and quality traits. The analysis of variance exhibited substantial degree of variability among the genotypes for all the traits under study. The higher value of phenotypic coefficient of variance (PCV) than genotypic coefficient of variance (GCV) for all the traits under study indicated the influence of environment on expression of these traits. High heritability coupled with high genetic advance as percent of mean suggested that direct selection for the traits viz.  iron content, test weight, calcium content, finger length, protein content, flag leaf area and days to 80% maturity may be carried out as these traits have preponderance of additive gene action. Similarly, character association results depicted that direct selection for the traits viz. flag leaf area, test weight, biological yield/plant, harvest index and iron content will be effective for tangible advancement in grain yield of this important millet. Further, Genetic divergence study for identifying such promising genotypes revealed that among the seven clusters, Cluster III and cluster VII were most divergent hence genotypes viz., MLS 1, MLS 5, GPU 67, VL 376 and Indira Ragi from these clusters may throw useful segregates in upcoming generations.

Keywords: Genetic variability, genetic divergence, selection criteria, heritability, character association

 

Corresponding author: Rahul Bhardwaj, Assistant Professor (Genetics & Plant Breeding), ARS, Mandor, Agriculture University, Jodhpur, India, Email- bhardwajrahul4u@gmail.com Phone- +91 9610518283

 

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Published in „GENETIKA“ Vol. 55, No.3 (2023), pp.819-827

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303819K

  Original scientific article

 

 

 

POLYPLOIDISATION EFFECT ON TRICHOME DENSITY IN INTERSPECIFIC HYBRIDS OF Pennisetum glaucum (L.) R. BR. × Pennisetum purpureum (K.) SCHUM

 

Arshpreet KAUR1, Rahul KAPOOR1*, Anu KALIA2

 

1Department of Plant Breeding and Genetics, PAU, Ludhiana, Punjab, India

2Department of Soil Science, PAU, Ludhiana, Punjab, India

 

Abstract

Kaur A., R.Kapoor, A.Kalia (2023). Polyploidisation effect on trichome density in interspecific hybrids of Pennisetum glaucum (L.) r. br. × Pennisetum purpureum (K.) schum.- Genetika, Vol 55, No.3, 819-827.

This study is aimed at testing the efficiency of colchicine on inducing polyploidy in Pennisetum glaucum (L.) R. Br. × P. purpureum (K.) Schum (BNH) and to investigate the effect of polyploidy on trichome density. Root cuttings of 4 hybrids and two check varieties were treated with different concentrations of colchicine (0, 0.05%, 0.1% and 0.2%) for different time durations (12 and 24 hrs). The ploidy level of plants was confirmed by cytogenetic studies using conventional protocol. Colchicine concentration of 0.1% for 24 hrs was found to induce polyploidy in PBN 233. Trichome density was investigated using Scanning Electron Microscopy at 100X. During the study, it was found that the trichome density decreases with increase in ploidy level.

Key words: BNH, Colchicine, Interspecific hybrid, Polyploid, Trichomes

               

Corresponding author: Rahul Kapoor, Department of Plant Breeding and Genetics, PAU, Ludhiana, Punjab, India, email: rahulkapoor@pau.edu, +919815585599

 

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Published in „GENETIKA“ Vol. 55, No3(2023), pp. 829-840

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

UDC 575. 630
829https://doi.org/10.2298/ GENSR2303829K

                            Original scientific article

 

 

determınatıon of the growth and yield traits of some MUSTARD specıes under SEMI-ARID CENTRAL ANATOLIAN CONDITIONS

 

Fatma KAYACETİN1*, Oguzhan AYDİN2, Sefa UNAL2, Khalid Mahmood KHAWAR3

 

1Ankara University, Kalecik Vocational School, 06870 Ankara, Turkey

2Central Research Institute for Field Crops, 06170 Ankara, Turkey

3Yozgat Bozok University, Hemp Research Institute, 66900 Yozgat, Turkey

 

Abstract

Kayacetin F., O. Aydin, S. Unal, K. M. Khawar (2023). Determination of the growth and yield traits of some mustard species under semi-arid Central Anatolian conditions. - Genetika, Vol 55, No.3, 829-840.

Brassica nigra, and B. juncea, are two economically important species that are used as spices; and B. juncea, B. rapa ssp., oleifera, and B. nigra are used for industrial seed oil. The potential of 16 Brassica genotypes’s comparison with 2 standard varieties was done in terms of their phenology, morphology, and yield performance under autumn-sown conditions during 2019-20 and 2020-21 under semi-arid climatic conditions of Central Anatolia, in Ankara, Türkiye. The experiment was performed in a randomized complete-block design with four replications. The results indicated statistically significant genotypes × years interaction among all genotypes for plant height, number of branches, number of pods, number of seeds, 1000-seed weight, seed yield, and crude oil yield of Brassica spp. Seed emergence, rosette formation stage, 50% flowering, and 50% pod formation of Brassica spp. varied according to species and years. While the maximum and minimum crude oil yields of 1222 kg ha-1 were obtained from Standard 2 (B. napus-Excalibur) and 313 kg ha-1 from the Bn4 genotype; the Br2 (1123 kg ha-1), Br3 (1042 kg ha-1), Br6 (1093 kg ha-1), Br5 (949 kg ha-1) B. rapa ssp., oleifera and Bj3 (893.3 kg ha-1) B. juncea genotypes appeared superior in performance compared with the other genotypes. These genotypes can be further exploited in various improvement programs through selection and hybridization.

Keywords: Brassica juncea, B. rapa ssp. oleifera, Brassica nigra, phenology, morphology, and yield

 

 

Corresponding author: Fatma Kayacetin, Ankara University, Kalecik Vocational School, 06870 Ankara, Turkey, Tel: +903128571394, E-mail: kayacetin@ankara.edu.tr

 

 

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Published in „GENETIKA“ Vol. 55, No.3 (2023), pp. 841-854

© 2023Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303841B
Original scientific article

 

 

STUDY OF GENETIC DIVERSITY AND SEARCH FOR ANTHRACNOSE RESISTANCE ALLELES IN COMMON BEAN (Phaseolus vulgaris L.) GENOTYPES CULTIVATED IN AZERBAIJAN

 

Sevda BABAYEVA1,2, Turana HASANOVA1, Almas ASADOVA1, Afat MAMMADOVA1, Vusala IZZATULLAYEVA1,3, Jale NASIBOVA1, Parvana MANAFOVA4, Elchin HAJIYEV1, Mehraj ABBASOV1*

 

1Genetic Resources Institute, Ministry of Science and Education of Republic of Azerbaijan, Baku, Azerbaijan

2Life Sciences Department, Khazar University, Baku, Azerbaijan

3Western Caspian University, Department of Natural Sciences, Baku, Azerbaijan

4Baku State University, Baku Azerbaijan

 

Abstract

Babayeva S., T. Hasanova, A. Asadova, A. Mammadova, V. Izzatullayeva, J. Nasibova, P. Manafova, E. Hajiyev, M. Abbasov (2023). Study of genetic diversity and search for anthracnose resistance alleles in common bean (Phaseolus vulgaris L.) genotypes cultivated in Azerbaijan. - Genetika, Vol 55, No.3, 841-854.

Common bean has become very popular and widespread among the population since its introduction to Azerbaijan in the second half of the 18th century. The paper represents for the first time the genetic diversity and anthracnose resistance of 37 common bean accessions cultivated in Azerbaijan. ISSR marker characterization in the present study revealed a total of 47 bands, with 33.6% of average polymorphism. The polymorphism information content (PIC) and genetic diversity index (GDI) for each primer were in the range of 0.25–0.48 (mean 0.35) and 0.45–0.73 (mean 0.59), respectively, indicating a moderate level of genetic diversity in the current collection. UNJ tree showed that the common bean accessions tended to cluster according to the local and introduced gene pools, indicating the same original sources of these accessions, which is also supported by PCo analysis. Screening with linked SCAR markers revealed the existence of common bean genotypes with single or multiple Co resistance alleles. Among studied genes Co-4 locus and its alleles were found in all samples, followed by Co-6 (40.5%) and Co-34 (16%). Three genotypes had all studies resistance loci, while 12 had Co-4 and Co-6, and 3 had Co-4 and Co-34. The results could provide valuable information for future common bean breeding activities and conservation. The use of genotypes with two or more resistance genes as donor parents can accelerate the development of new common bean cultivars with durable resistance to anthracnose.

Keywords: common bean; genetic diversity; ISSR; anthracnose; SCAR

 

Corresponding author: Mehraj Abbasov, Genetic Resources Institute of Ministry of Science and Education of Azerbaijan, Azadlig Ave 155, AZ1106, Baku, Azerbaijan, e-mail: mehraj_genetic@yahoo.com, phone: +994505327819

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 855-867

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303855K
Original scientific article

 

 

 

PEDIGREE INFORMATION SHARED IN APPLE ALLERGENS

TRANSCRIPTIONAL ACTIVITY

 

Matúš KYSEĽ1, Lucia URBANOVÁ1, Jana BILČÍKOVÁ1, Jana ŽIAROVSKÁ2*

 

1Research Center AgroBioTech, the Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia

2Institute of Plant and Environmental Sciences, Faculty of Agrobiology and Food Resources, the Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia

 

 

Abstract

Kyseľ M., L. Urbanová, J. Bilčíková, J. Žiarovská (2023): Pedigree information shared in apple allergens transcriptional activity. - Genetika, Vol 55, No.3, 855-867.

Apples are popular fruit worldwide thanks to their many tastes and a nutritional value.  On the other side, they share the allergenic epitopes of Mal d 1 allergen that is relevant in food allegies. Sharing the genetic information of the origin accelerated the crossbreeding of world-class genotype in terms of the genetic resource of different apple species such as McIntosh, Jonathan, Golden Delicious, Granny Smith or Cox´s Orange Pippin. Among different characteristics, identification of genotypes with risk and perspective allergen potential should be focused on, in order to avoid apple disqualification in increasing food allergy. Here, based on own Mal d 1 gene expression analysis, 75 from 98 analysed varieties were directly linked to the common pedigree by 10 selected founding apple varieties - Golden Delicious, Jonathan, Clivia, Prima, Lord Lambourne, Rubín, Vanda, Cox´s Orange Pippin, Championa and Topas. In selected founding apple varieties we focus on genotypes from 2nd intergeneration (1870-95) to 5th intergeneration (2005-15). Expression data for of Mal d 1 recognized correlation between isoforms Mal d 1.02, Mal d 1.08 and selected founding apple varieties.

Keywords: apple, generation, Mal d 1 isoforms, real-time PCR, pedigree

 
Corresponding author: Jana Žiarovská, Institute of Plant and Environmental Sciences, Faculty of Agrobiology and Food Resources,  the Slovak University of Agriculture in Nitra, 949 76 Nitra, Slovakia,  tel: +421 37 641 4444, E-mail: jana.ziarovska@uniag.sk

 

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Published in „GENETIKA“ Vol. 55, No3(2023), pp 869-882

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303869K
Original scientific article

 

 

UTILIZING GENETIC VARIABILITY PARAMETERS OF GARDEN PEA

 (Pisum sativum L.) GERMPLASM FOR YIELD AND QUALITY TRAITS

 

Hardeep KAUR1, Rajinder Kumar DHALL1*, Priti SHARMA2

 

1Department of Vegetable Science, Collage of Horticulture and Forestry, Punjab, India

Agricultural University, Ludhiana-141004, Punjab, India

2School of Agricultural Biotechnology, Collage of Agriculture, Punjab Agricultural

University, Ludhiana-141004, Punjab, India

 

 

Abstract

Kaur H., R. Kumar Dhall, P. Sharma (2023). Utilizing genetic variability parameters of garden pea (Pisum sativum L.) germplasm for yield and quality traits. - Genetika, Vol 55, No.3, 869-882.

In present study, 159 diverse pea genotypes were evaluated at Vegetable Research Farm, Punjab Agricultural University, Ludhiana, Punjab, India to study genetic variability, heritability and genetic advance involving 14 morphological traits. The analysis of variance showed significant differences among genotypes for all the traits under study except node at which 1st pod appears. On the basis of mean performance, the maximum yield was observed in PB-90 which was followed by PB-89 and 2009/PMVAR-6. Highest coefficient of variation was observed for number of seeds/pod and highest genotypic and phenotypic coefficients of variation were recorded for number of pods/plant followed by plant height and total yield/plant. Very high heritability estimates were observed for plant height (99.89) followed by total yield/plant (99.71) and days to 1st picking (99.43) while genetic advance as percent of mean was observed high for number of pods/plant (65.35) followed by plant height (58.66) and total yield/plant (42.17). High heritability along with high genetic advance was found for all traits under study. High heritability estimates coupled with high genetic advance reflects the presence of additive gene action for expression of these traits.

Key words: Garden pea, genetic potential, heritability, variability, yield

 

Corresponding author: Rajinder Kumar Dhall, Department of Vegetable Science, Collage of Horticulture and Forestry, Punjab, India, Tel: +91-8283840078, E-mail: rajinderkumar@pau.edu

 

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Published in „GENETIKA“ Vol. 55, No.3 (2023), pp.883-893

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

UDC 575. 630
https://doi.org/10.2298/ GENSR2303883S
Original scientific article

 

 

 

INVESTIGATION ON GENETIC DIVERSITY OF PEPPER (Capsicum spp.) PARENTS AND INTERSPECIFIC HYBRIDS USING ISSR MARKERS

 

Todorka A. SREBCHEVA* and Milena L. KOSTOVA

 

Department of Plant physiology, Biochemistry and Genetics, Agricultural University - Plovdiv, Faculty of Agronomy, Plovdiv, Bulgaria

 

Abstract

Srebcheva A.T. and M. L. Kostova (2023). Investigation on genetic diversity of pepper (Capsicum spp.) parents and interspecific hybrids using ISSR markers. - Genetika, Vol 55, No.3, 883-893.

Pepper (Capsicum) is one of the most important and widespread vegetable crops in the Balkans. Some old indigenous forms are not the focus of modern breeding but are preserved in some areas and represent valuable genetic resources. Three Bulgarian varieties (Plovdivska kapiya, Familiya and IZK Delicates) C. annuum, and two representatives of the chili pepper C. chinense and C. frutescens. Interspecific hybrids were made between sweet (C. annum) and chili pepper plants. The genetic relationships of the varieties of Capsicum species were assessed using ISSR primers. PCR amplification of isolated DNA from parental lines and interspecific hybrids revealed 65 distinct polymorphic bands. Cluster analysis clearly distinguished the parental forms and individuals from the F1 and F2 populations. The applied ISSR molecular technique can be successfully used to analyze genetic diversity in cultivars, early-stage seedlings, and interspecific hybrids, as well as to detect differences in individuals whose genomes are highly homogeneous, such as those of the genus Capsicum.

Keywords: Capsicum spp., cluster analysis, genetic diversity, interspecific hybrids

 

Corresponding author: Todorka A. Srebcheva, Department of Plant physiology, Biochemistry and Genetics, Agricultural University - Plovdiv, Faculty of Agronomy, 12, Mendeleev, Blvd., Plovdiv 4000, Bulgaria, Tel: +359 32 654 343, E-mail: teasrebcheva@abv.bg 

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 895-912

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

UDC 575.
https://doi.org/10.2298/ GENSR2303895A
Original scientific article

 

 

 

MOLECULAR SPECIES IDENTIFICATION OF ROCKSKIPPER (PISCES: BLENNIIDAE) FROM POROK BEACH (YOGYAKARTA, INDONESIA) BASED

ON 16S rRNA and COI GENES

 

Tuty ARISURYANTI1, Ardan Putra Saleh HUTASUHUT1, Johan Putra KOENTJANA1,

Katon Waskito AJI1, Dwi Sendi PRIYONO2

 

1Laboratory of Genetics and Breeding, Faculty of Biology, Universitas Gadjah Mada,

Jl.Tehnika Selatan, Sekip Utara, Yogyakarta 55281, Indonesia

2Laboratory of Animal Systematics, Faculty of Biology, Universitas Gadjah Mada,

Jl.Tehnika Selatan, Sekip Utara, Yogyakarta 55281, Indonesia

 

 

Abstract

Arisuryanti T., A. P. S. Hutasuhut, J.P. Koentjana, K. W. Aji, D.S. Priyono (2023). Molecular species identification of Rockskipper (Pisces: Blenniidae) from Porok beach (Yogyakarta, Indonesia) based on 16S rRNA and COI gene.s- Genetika, Vol 55, No.3, 895-912.

Rockskipper belongs to the species-rich family of Blenniidae (Combtooth blenny) and is known for its cryptic and species complexes presence. Identifying cryptic species based solely on morphological features is challenging due to their similar morphological characteristics. As a result, molecular genetic techniques based on two partial mtDNA genes, COI and 16S rRNA, were employed to identify fish accurately. This study aimed to evaluate the effectiveness of COI and 16S rRNA gene for the identification of Rockskipper fish and investigate the genetic relationship between species of Rockskipper from Porok Beach. The result revealed that the thirteen Rockskipper samples from Porok Beach that belong to six species (E. vermiculatus, E. striatus, I. lineatus, I. dussumieri, I. edentulus, and B. caudolineata) with more than 99% similarity. In contrast, the 16S analysis identified five species. A Bayesian phylogenetic tree demonstrated that six species of Rockskipper from Porok Beach are genetically distinct and separated into two clusters. We also found that two samples (RS-9 and RS-10) form a monophyletic group with B. caudolineata with maximum bootstrap (NJ and ML: 100%) and posterior probability (1.00). We hypothesized that B. caudolineata is a species complex with at least two lineages: one was genetically closer to RS-8, and another was more closely related to RS-9 and RS-10. Both the COI and 16S rRNA genes were found to be capable of delineating species and revealing genetic variation among Rockskipper samples in this study. However, our findings demonstrated that the COI gene is a more accurate and reliable marker for identifying Rockskipper species from Porok Beach, Gunungkidul, Yogyakarta, Indonesia.

Key words: 16S rRNA, COI, Porok Beach, Rockskipper

 

Corresponding author: Tuty Arisuryanti, Laboratory of Genetics and Breeding, Faculty of Biology, Universitas Gadjah Mada, Jl.Tehnika Selatan, Sekip Utara, Yogyakarta 55281, Indonesia, email: tuty-arisuryanti@ugm.ac.id

 

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Published in „GENETIKA“ Vol. 55, No.3 (2023), pp. 913-928

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

                                         UDC 575.633
https://doi.org/10.2298/GENSR2303913N
Original scientific article

 

MULTI-TRAIT SELECTION FOR MEAN PERFORMANCE AND STABILITY AMONG SOYBEAN GENOTYPES EVALUATED UNDER RAINFED CONDITIONS ACROSS DIVERSE ENVIRONMENTS IN INDIA

 

Vennampally NATARAJ1, Sanjay GUPTA*1, Kunwar Harendra SINGH1, Maranna SHIVAKUMAR1, Gyanesh Kumar SATPUTE1, Nargund RAGHAVENDRA1, Giriraj KUMAWAT1, Savita KOHLE1, Nisha AGRAWAL1, Vangala RAJESH1, B.S GILL2, Anuradha BHARTIYA3, Vedna KUMARI4, S.K LAL5, K.P. SINGH6, S.B. GUPTA7, Nutan VERMA8, Satish NICHAL9, Manoj Kumar SHRIVASTAVA10, Shivaji Pandurang MEHETRE11, Jagendra SINGH12, Chandra Prakesh SINGH13, Rajendar REDDY14, T. ONKARAPPA15, Milind Panjabrao DESHMUKH16, Santosh A.  JAYBHAY17, Heisnam Nanita DEVI18

 

1ICAR-Indian Institute of Soybean Research, Indore, Madhya Pradesh, India,2Punjab Agricultural University, Ludhiana, India,3 ICAR-Vivekanada Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand 263601, India,4 Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh 176062, India,5Indian Agriculture Research Institute, New Delhi, India,6 G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263153, India,7 Indira Gandhi Krishi Vishwavidyalaya Raipur, Chhattisgarh 492012, India,8 Birsa Agricultural University, Ranchi Jharkhand, India, 9 Dr. Punjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra 444104, India, 10 Jawaharlal Nehru Krishi VishwaVidyalaya, Jabalpur, Madhya Pradesh, India, 11 Vasantrao Naik Marathwada Agricultural University, Parbhani, Maharashtra 431402, India,12 Agriculture Research Station Morena Madhya Pradesh, India,13 Krishi Vigyan Kendra, Lokbharti, Gujarat 364230, India,14 Agriculture Research Station Adilabad, Telangana 504001, India,15 University of Agricultural Sciences, Bengaluru, Karnataka, India,16 Mahatma Phule Krishi Vidyapeeth, Kasbe Digraj, Maharashtra 416305, India,17 MACS Agharkar Research Institute Pune Maharashtra 411004, India,18 Central Agricultural Univ., Imphal, Manipur 795004, India

 

Abstract

Nataraj V., S. Gupta, K. H. Singh, M. Shivakumar, G. K. Satpute, M. Raghavendra, G. Kumawat, S. Kohle, N. Agrawal, V. Rajesh, B.S Gill, A. Bhartiya, V. Kumari, S.K Lal, K.P. Singh, S.B. Gupta, N. Verma, S. Nichal, M. K. Shrivastava, S. P. Mehetre, J. Singh, C. P. Singh R. Reddy, T. Onkarappa, M. P. Deshmukh, S. A.  Jaybhay, H. N. Devi (2023). Multi-trait selection for mean performance and stability among soybean genotypes evaluated under rainfed conditions across diverse environments in India- Genetika, Vol 55, No.3, 913-928.

Soybean [Glycine max (L.) Merr.] is the predominant rainfed Indian oilseed crop cultivated across diverse agro-climatic zones. Understanding the genotype × environment interaction (GEI) is crucial for development of stable and wider adaptable soybean varieties. In the current study, 10 elite breeding lines were evaluated across 19 diverse locations for days to flowering, days to maturity, plant height, hundred seed weight and grain yield during 2020. The stability index as measured through weighted average of absolute scores (WAASB) identified SL 1213 and DS 1320 to have stable grain yield. WAASBY superiority index, which is based on mean performance and stability, was also higher for SL 1213. Multitrait stability index (MTSI) was employed to select genotypes with higher grain yield, early flowering, early maturity, higher hundred seed weight and plant height, simultaneously and genotypes DS 1320 and SL 1213 were identified through MTSI. Based on the three indices, SL 1213 was found to be the candidate genotype for breeding for higher yield, wider adaptability and for ideotype breeding. Based on cluster analysis, SL 1213 × JS 22-07 and SL 1213 × NRC 149 were found to be the ideal cross combinations for developing high-yielding and wider adaptable genotypes. Through Principal Component Analysis (PCA), grain yield was found to be positively associated with Relative Humidity, Effect of temperature on radiation use efficiency, Deficit by precipitation, Total rainfall precipitation during the crop cycle, Global solar radiation based on latitude and Julian day and Dew-point temperature at 2 m above the surface of the earth.

Key words: Adaptability, grain yield, soybean, and stability

 

Corresponding author: Sanjay Gupta, ICAR-Indian Institute of Soybean Research, Indore, Madhya Pradesh, India email:sanitaishu@gmail.com

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 929-949

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575.
https://doi.org/10.2298/ GENSR2303929T
Original scientific article

 

 

ESTIMATION OF BODY WEIGHT FROM MORPHOLOGICAL MEASUREMENTS

IN BOER GOATS WITH THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND SOME REGRESSION MODELS

 

T.L. TYASI1* and Ş. ÇELIK2

 

1School of Agricultural and Environmental Sciences, Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, Limpopo 0727, South Africa

2Department of Animal Science, Biometry Genetics Unit, Agricultural Faculty, Bingöl University,

Bingöl, Turkey

 

 

Abstract

Tyasi T.L. and Ş. Çelik (2023). Estimation of body weight from morphological measurements in Boer goats with the application of artificial neural networks and some regression models. - Genetika, Vol 55, No.3, 929-949.

In this study, examination of the characteristics of body measurements affecting the body weight of Boer goats and the estimation of the body weight were investigated. To examine their body morphological features, 400 live animals were taken into consideration. The morphological measurements taken from the goats in the study were body weight (BW), body length (BL), heart girth (HG), withers height (WH), rump height (RH), rump length (RL), ear length (EL) and head with (HW) respectively. These animals were between 1-6 years old; 112 of them were male and 288 of them were female. Multiple regression, ridge regression and artificial neural networks (ANN) methods were applied to estimate the body weight. In the prediction of body weight as a dependent variable, the ANNs predictive model produced high predictive performance. Mean square error (MSE), mean absolute error (MAD) and mean absolute percent error (MAPE) statistics were used to determine model performance. Using the Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) learning algorithm, the body features that had the greatest impact on body weight were determined. Comparison of the predictive performance of the put forward model against both multiple regression and state of the ridge regression methods showed that the artificial neural networks outperformed both competing models by achieving the least values for MAD, MSE and MAPE in both training and testing data sets. The results of artificial neural networks were promising and accurate in the prediction of the body weight of goats.

Key words: Artificial neural networks, body measurement, goat, ridge regression

 

Corresponding author: T.L. Tyasi, School of Agricultural and Environmental Sciences, Department of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo 0727, South Africa, Email: louis.tyasi@ul.ac.za; Tel.: +2715 268 2803

 

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Published in „GENETIKA“ Vol. 55, No3(2023), pp951-961

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

UDC 575.633.11
https://doi.org/10.2298/ GENSR2303951M
Original scientific paper

 

 

MITIGATING ABIOTIC STRESSES: A STUDY ON PANNONIAN BASIN WHEAT CULTIVARS FACING DROUGHT, COLD AND HEAT

 

Velimir MLADENOV1, Borislav BANJAC1*, Sofija PETROVIĆ1, Rada ŠUĆUR1,

Bojan JOCKOVIĆ2

 

1 University of Novi Sad, Faculty of Agriculture, Department of Field and Vegetable Crops,  Novi Sad, Serbia

2 Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia

 

Abstract

Mladenov V., B. Banjac, S. Petrović, R. Šućur, B. Jocković (2023). Mitigating abiotic stresses: a study on Pannonian basin wheat cultivars facing drought, cold and heat. - Genetika, Vol 55, No.3, 951-961.

Environmental stresses such as drought, cold and heat in Pannonia Basin significantly endanger the cell activity, plant growth and yields in wheat, which is one of the most strategic cereal grain crops in the world. As science and technology advance, new tools are developed while old ones are refined for use by breeders. Higher agronomical efficiency is possible by combining new and old tools to bridge the abiotic stress issues. Five cultivars of winter wheat (Simonida, Petrija, Ljubica, Zvezdana and NS Mila), were used in the study carried out at our experimental field (Novi Sad as a center of Pannonia Basin) across three consecutive growing seasons to assess genetic interaction and the level of tolerance and adaptability of different cultivars to abiotic stresses like drought conditions, cold and heat. Four quantitative yield components and  grain yield were analiyed to assess expression of adapted genotypes in the region. Among the cultivars, Simonida, which has been in use for the longest period, exhibited the most consistent yield response. Additionally, it demonstrated some degree of partial tolerance to abiotic stress conditions, possibly due to the integration of stress memory into its genetic code, supported by statistical analysis findings.

Keywords: abiotic stress; adaptability; drought; tolerance; wheat

 

 

Corresponding author: Borislav Banjac, University of Novi Sad, Faculty of Agriculture Novi Sad, Sq. Dositeja Obradovića 8, 21 000 Novi Sad, phone: +381 (21) 485 32 99; e-mail:borislav.banjac@polj.edu.rs

 

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp.963-981

© 2023Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

UDC 575.630

https://doi.org/10.2298/ GENSR2303963T
Original scientific article

 

 

CHARACTERIZATION IN F1 GENERATION OF KABULI, DESI AND WILD CICER GENOTYPES FOR PLANT TRAITS

 

 

Gizem KAMCI TEKIN1 and Behiye Tuba BICER2

 

1Sirnak University, Faculty of Agriculture, Department of Field Crops, Sirnak, Turkey

2Dicle University, Faculty of Agriculture, Department of Field Crops, Diyarbakir, Turkey

 

Abstract

Tekin Kamci G.  and B. T. Bicer (2023). Characterization in F1 generation of Kabuli, Desi and wild Cicer genotypes for plant traits. - Genetika, Vol 55, No.3, 963-981.

It is important to understand the magnitude of the changes in variation created by the crossbreeding of cultivated chickpea varieties with a narrow genetic base, desi and kabuli types, and C. reticulatum and C. echinospermum, which are closely related species to cultivated chickpeas. The study was conducted at Dicle University, Agriculture of Faculty, Diyarbakir, Turkiye, in 2023. The experiment laid out in randomized complete block design with three replications. Desi × kabuli, kabuli × kabuli and kabuli × wild Cicer F1 crosses and their parents were evaluated to estimate the heterosis, heterobeltiosis, potence ratios and heritability for the days to first flowering, leave traits, plant height, number of nodes per plant, flower and foliage color, anthocyanin pigmentation and plant growth habit. The differences among genotypes were significant for all these traits. The magnitude of heterosis was differed between traits and crosses. For days to first flowering, heterosis for early crosses ranged from -2.56% to -7.13%. Azkan (lately) × C. reticulatum (medium early) (-14.06%) had the highest negative heterobeltiosis for days to first flowering. The high heritability was estimated for days to first flowering, days from emergence to podded, and days from flowering to podded. The estimated values of potence ratios in most F1 crosses were negative for the number of days to first flowering. In crosses between the white-flowered parents Azkan, Gokce, ILC 533, ILC 1929 and ILC 482 and the pink-flowered parents JG 11, ICCV 96029, ICCV 03107, Black and wild Cicer species the F1s were pink. When the white-flowered the kabuli parents to the pink-flowered the desi parents were crossed, the F1s showed the anthocyanin pigmentation on various plant parts.

Keywords: Cicer, chickpea, desi, heterosis, heterobeltiosis, kabuli, potence ratio, PCA, wild species

 

Corresponding author:  Gizem Kamci Tekin, Sirnak University, Faculty of Agriculture, Department of Field Crops, Sirnak, Turkey, E-mail: gzmkmc2@gmail.com

 

 

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Published in „GENETIKA“ Vol. 55, No3(2023), pp. 983-996

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

UDC 575.630

https://doi.org/10.2298/ GENSR2303983S 
Original scientific article

 

 

 

ENHANCED RETINAL IMAGE CAPTIONING SYSTEM FOR IDENTIFYING

AND DIFFERENTIATING SEVERITY LEVELS OF DIABETIC RETINOPATHY

 

 

V. SIVAMURUGAN1, K.R. UTHAYAN2, V. THANIKACHALAM3

 

1Department of Information Technology, Sri SivaSubramaniya Nadar College of Engineering, Chennai, India

2Faculty of School of Computer Science & Engineering, Vellore Institute of Technology, Chennai, India

 

Abstract

Sivamurugan, V., K.R. Uthayan, V. Thanikachalam (2023): Enhanced retinal image captioning system for identifying and differentiating severity levels of diabetic retinopathy. - Genetika, Vol 55, No.3, 983-996.

The objective of this research was to formulate a clinical decision support framework leveraging AI towards utilizing retinal fundus images for the identification and categorization of the four distinct stages of diabetic retinopathy, namely proliferative, severe, moderate, and mild. The devised system architecture integrated Long Short-Term Networks (LSTM), Generative Adversarial Networks (GAN), and pre-trained convolutional neural network (CNN) models. Following an exhaustive performance analysis, the most optimal image captioning model was identified and recommended to ophthalmologists for the purpose of identifying and categorizing diabetic retinopathy. Notably, the results revealed that employing ResNet50 with LSTM, in conjunction with enhanced retinal images, yielded superior accuracy of 0.975. The proposed methodology holds transformative potential for the realm of diabetic retinopathy diagnosis and classification, facilitating early detection and intervention to mitigate vision loss in individuals affected by diabetes.

Keywords: Convolutional Neural Network (CNN), Deep Learning, Diabetic Retinopathy (DR), Generative Adversarial Network (GAN), Image Captioning System, Long Short-Term Networks (LSTM)

 

 

Correspondin author: K.R. Uthayan, Department of Information Technology, Sri SivaSubramaniya Nadar College of Engineering, Chennai, India, email: uthayankr@ssn.edu.in

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 997-1005

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

UDC 575.630
https://doi.org/10.2298/ GENSR2303997K
 Original scientific article

 

 

YODAI – A NEW VARIETY OF GRASS PEA (Lathyrus sativus L.)

 

Valentin KOSEV1, Viliana VASILEVA2, Vera POPOVIC3

 

1Institute of Forage Crops, 5800 Pleven, Agricultural Academy, Bulgaria

2Maize Research Institute, 5835 Kneza, Agricultural Academy, Bulgaria

3Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Republic of Serbia

 

Abstract

Kosev V., V. Vasileva, V. Popovic (2023). Yodai – a new variety of grass pea (Lathyrus sativus L.). - Genetika, Vol 55, No.3, 997-1005.

The biological performance of grass pea (Lathyrus sativus L.) hybrid lines [LHL (BGE027129 × LA5108), LHL-2 (BGE025277 × LA5108) and LHL-3 (LA5108 × BGE027129]) and their parental components (BGE027129, BGE025277 and LA5108 varieties) were studied in a three-year field experiment. Biometric analysis of each variety and line was done for main quantitative traits and phenological stages and periods. The height of the plants at the technological maturity of the grain reached 46 cm. The vegetation period has an average duration of 93 days. New variety Yodai was created, which was obtained by multiple individual selection from the cross BGE027129 × LA5108 (line LHL). The new variety ripens 4-5 days before the varieties BGE027129 and LA5108. On average, 13 well-fed pods per plant were formed with a total of 22 normally developed seeds. The seeds were medium-large with a white seed coat, with a flat oval shape. The seed productivity (4.41 g/plant) exceeds the average of the parental varieties (3.80 g/plant). The weight of 1000 seeds was about 172 g. The crude protein content was 23.85%. In addition, the variety has good resistance to cracking of the pods. It is drought tolerant and weakly attacked by diseases and enemies. In 2022, by the decision of the Expert Commission at the Executive Agency for Variety Testing, Field Inspection and Seed Control, Bulgaria (appointed by order RD-10-1/14.01.2022) and by order No. RD-14-3 of 02.03.2022, the Yodai variety was recognized as new and original.

Keywords: crude protein content, grass pea, new variety, productivity

 

Corresponding author: Viliana Vasileva, Maize Research Institute, 5835 Kneza, Agricultural Academy, Bulgaria, email: viliana.vasileva@gmail.com

 

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 1007-1009

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

 

 

In memoriam

Remembering Prof. Wyatt Anderson (1939-2023)

 

Dr. Mirjana Milosevic Brockett

School of Biological Sciences

Georgia Institute of Technology

Atlanta, Georgia

 

 

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Published in „GENETIKA“ Vol. 55, No. 3(2023), pp. 1011

© 2023 Serbian Genetics Society
S. Bajića 1, 11185 Belgrade-Zemun

Serbia

https://doi.org/10.2298/GENSR2303011E

                                                                                 

 

 

CORRIGENDUM

by

Snežana Mladenović Drinić, Editor of the journal Genetika

 

 

request from Leila Joudi for removal of Name from article due to inaccurate information

 

RAPD profiling in detecting genetic variation in Stellaria L. (Caryophyllaceae)

 

Peng X., M. Khayyatnezhad and L. Joudi Ghezeljehmeidan

 

 

Original scientific paper

https://doi.org/10.2298/GENSR2101349P

published in the journal Genetika, 2021, Vol53, No.1, 349-362.

 

 

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