GY*T biplot approach for genotypic selection in multiple trait evaluations: A case study of cowpea (<i>Vigna unguiculata</i> l.)

Sofi, Parvaze A.; Gül, M. Kemal; Ara, Asmat

doi:10.5958/2395-146x.2020.00023.x

Cited by 4 publications

(5 citation statements)

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“…The food value of common bean is largely confined to local consumer preferences and as such, traditional varieties and landraces offer great value to plant breeders as they possess better quality. Substantial variability has been reported in seed quality traits in local and exotic common bean in Kashmir by Iram Saba et al (2016) and Sofi et al (2020). In the present study, four accessions viz., WBP1, WBP15, WBC2 and WBC4 had protein content in excess of 20 per cent whereas, two accessions WBP5 and WBP16 had phytic acid below 0.5 mg/g.…”

Section: Seed Quality Parameterssupporting

confidence: 50%

“…Seed yield also had a very broad range with genotypes WBP3, WBP4, WBP6, WBP12 and WBC1 being the highest yielder. In Kashmir valley, substantial diversity in beans has been reported by various earlier workers (Iram Saba et al, 2016, Sofi et al, 2020and Jan et al, 2021 for yield and quality traits, even though the spectrum of diversity may be comparatively lesser as the pinto and cranberry beans form a small subset of landrace diversity of beans in Western Himalayan Kashmir valley that comprises huge diversity in small seeded red beans, kidney beans as well as other market classes. Elsewhere, significant diversity in pinto and cranberry beans has been reported in Turkey (Balkaya and Ergun, 2008), Pakistan (Nawaz and Farhatullah, 2020), and Africa (Mukankusi et al, 2019).…”

Section: Resultsmentioning

confidence: 91%

“…The western Himalayan region is a rich repository of bean genetic resources evolved over generations of farmer selection and substantial variability in Western Himalayan bean landraces has been reported in earlier studies across different qualitative traits (Rani Shama et al, 2019, Sofi et al, 2020, Jan et al, 2021. Despite the fact that most of the accessions had similar seed characteristics as well as plant growth habits on account of similar ecology viz., intercropping, there was substantial variability for various qualitative traits such as pod shape and curvature, quantitative traits including those related to phenology and yield.…”

Section: Resultsmentioning

confidence: 96%

“…Since the variation in quantitative characters is often influenced by variation in other characters either due to pleiotrophy or genetic linkage, the knowledge about trait associations between yield and its component traits is imperative to identify key characters for selection for grain yield as direct selection for a complex trait like yield, is invariably less rewarding (Sofi et al, 2020).…”

Section: Seed Quality Parametersmentioning

confidence: 99%

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Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

2022

EJPB

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The present study aimed to characterize pinto and cranberry bean landraces of Kashmir valley. A set of 30 genotypes including 16 pinto and 12 cranberry type bean landraces and two checks viz., Shalimar Rajmash-1 (SR-1) and Shalimar French Bean-1 (SFB-1) were evaluated for seven qualitative and 10 quantitative traits. There was a substantial variation among 30 accessions (28 landraces and 2 checks) evaluated for all the traits. Out of 28 landrace accessions, 13 were bushy type and 15 were pole type. Pods were predominantly green and seed colour was predominantly brown with characteristic mottling of varying colour shades. Out of 30 accessions, 16 were medium sized with oval seeds. There was substantial variability as depicted by a wide range for both morphological and seed quality traits pertaining to water absorption as well as protein content and phytic acid. The heat map revealed that seed yield had a significant correlation with the number of pods per plant (0.505), followed by seed length (0.455) and seeds per pod (0.414). Similarly, water absorption percentage was significantly correlated with hydration coefficient followed by seed wet weight and hydration capacity but was negatively correlated with hard shell percentage and coat proportion. Principal component analysis based on the seed yield and related traits concentrated the variability in the first three components for morphological traits and four components for seed quality traits explaining 67.23 % and 78.60 % variation, respectively. A number of desirable genotypes could be identified based on consistent performance for various maturity, yield and seed quality traits including high protein and low phytic acid content.

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Section: Seed Quality Parameterssupporting

confidence: 50%

Section: Resultsmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 96%

Section: Seed Quality Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

2022

EJPB

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“…The GYT biplot is more advantageous to use in breeding research if the selection of genotypes is created on one trait. The results of the GYT biplot refer to the strong correlation amongst all combinations of yield-traits; these various combinations of yield-trait come out as positively correlated or uncorrelated, according to Sofi et al [66,67]. This advantage prevented the selection of false positive genotypes that caused more suitable selection.…”

Section: Discussionmentioning

confidence: 96%

Yield Adaptability and Stability in Field Pea Genotypes Using AMMI, GGE, and GYT Biplot Analyses

Yang,

Soliman,

et al. 2023

Agriculture

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Pea (Pisum sativum L.) is a vital leguminous crop farmed worldwide. Pea plays an essential role in China’s crop rotation system, but the major restrictions to its cultivation are stability and low yield. Breeding for promising cultivars with a significantly high yield will impact the sustainability of pea production. Additionally, diverse environment trials are crucial in determining the best genotype. The new cultivar “Yunwan 52” was developed by hybridization and subsequently evaluated through yield trials among six pea genotypes across 14 environments during the 2016–2018 growing seasons. The results showed that the average yield of “Yunwan 52” for all tested environments was 2.64 t ha−1 compared to the control cultivar (Yunwan 18, 1.83 t ha−1). Analysis of AMMI variance showed significant differences (p < 0.01) between genotypes, environments, and their interaction. Based on the GGE biplot, some genotypes possessed wide and narrow adaptability to environments, such as Yunwan 52 was considered the most stable and ideal gen-otype across all tested environments. GYT biplot analysis also revealed that this realized cultivar was a superior and stable genotype that can be identified visually by combining all characters in breeding programs. Yunwan 52 distinguishes with purple blossoms and seed coat peas. It is possible to infer that the newly released cultivar “Yunwan 52” has outstanding yield performance and wide adaptability to multiple environmental conditions (resilience to abiotic stress). It will contribute to developing nutritional pea genotypes and increase pea production in irrigated areas.

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Characterization of Western Himalayan small-seeded red beans (Phaseolus vulgaris L.) for yield, quality and resilience

Sofi

Shafi

Fatima

et al. 2022

Plant Genet. Resour.

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Western Himalayan region is a rich repository of common bean genetic resources evolved over generations of farmer selection. The bean variability encompasses various use categories such as dry, snap and shelled beans. The present study aimed to characterize 40 small-seeded red common bean genotypes collected from different districts of Kashmir valley as well as Poonch, Rajouri and Bhaderwah areas of Jammu which are world famous for their beans. Based on 5-year evaluation, there was substantial variability for various qualitative traits as well as quantitative traits. Among variability parameters, higher PCV and GCV values were recorded for plant height, seed yield per plant and number of pods per plant and low for days to maturity, seed length and pod length. High heritability was recorded for all the traits ranging from 78.72 to 94.87%. There was substantial variability in root traits scored in laboratory and greenhouse as well as canopy temperature depression and relative water content. Various genotypes were found resistant to bean common mosaic virus (WB-N-1, WB-N-11, WB-1318, WB-401, WB-451, WB-1634); anthracnose (WB-1634 WB-83, WB-258, WB-1282, WB-1304); angular leaf spot (WB-6, WB-1634, WB-258, WB-451, N-1 and N-10); Fusarium wilt (WB-341, WB-451, WB-N-1 and WB-1587) and Ascochyta blight (WB-6). Similarly WB-92 was highly resistant to shattering. The genotypes WB-341, WB-1634, WB-N-1 performed better under water stress, WB-N-1 and WB-1634 were resistant to multiple diseases and WB-1634 had better cooking quality. The genotypes identified can be used in bean improvement programmes and have also been submitted to NBPGR for long-term storage.

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GYT biplot approach for genotypic selection in multiple trait evaluations: A case study of cowpea (Vigna unguiculata* l.)

Cited by 4 publications

References 0 publications

Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

Yield Adaptability and Stability in Field Pea Genotypes Using AMMI, GGE, and GYT Biplot Analyses

Characterization of Western Himalayan small-seeded red beans (Phaseolus vulgaris L.) for yield, quality and resilience

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GY*T biplot approach for genotypic selection in multiple trait evaluations: A case study of cowpea (Vigna unguiculata l.)

Cited by 4 publications

References 0 publications

Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

Characterization of pinto and cranberry bean (Phaseolus vulgaris L.) landraces from western Himalayan Kashmir for yield and quality

Yield Adaptability and Stability in Field Pea Genotypes Using AMMI, GGE, and GYT Biplot Analyses

Characterization of Western Himalayan small-seeded red beans (Phaseolus vulgaris L.) for yield, quality and resilience

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GYT biplot approach for genotypic selection in multiple trait evaluations: A case study of cowpea (Vigna unguiculata* l.)