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"Variability"

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"Variability"

Research Articles
Genetic Variability and Gene Action for Several Traits in F4 and F5 Population of Rice
Noer-Rahmi Ardiarini, Damanhuri, Afifuddin-Latif Adiredjo
Plant Breed. Biotech. 2022;10(1):31-36.   Published online March 28, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.1.31

This study estimated the genetic variability and gene action of several traits in the F4 and F5 rice populations to determine a trait for selection program. The trait of date to flowering and date to harvesting had narrow genetic variability, whereas trait productive tillers, number of fertile grain, and total grains had moderate to wide genetic variability. Genetic variability in trait number of fertile grain and total grains showed decreased in F5 generation compare to the F4 generation, whereas trait productive tillers, date to flowering, and date to harvesting showed an increase. Additive gene action with duplicate and complementary epistasis was found in all traits, except for trait productive tillers only showed additive gene action with duplicate epistasis. Kurtosis less than 3 was found in all traits which indicate many genes control the traits. The number of fertile grain trait showed wide genetic variability which decreased in F5 generation compare to the F4 generation, and there is an additive gene action with duplicate epistasis. It indicates selection will be effective with the trait of number of fertile grain.

Citations

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  • Genetic Purity Analysis Using Polymorphic SSR Markers in Rice Genotypes (Oryza sativa L.) and Their Confirmation for the Parental Lines
    Afifuddin Latif Adiredjo, Noer Rahmi Ardiarini, Damanhuri
    Plant Breeding and Biotechnology.2023; 11(3): 220.     CrossRef
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Estimates of Genetic Parameters in Bambara Groundnut {Vigna subterranea (L.) VERDC.}
Nwakuche Chinenye Onwubiko, Michael Ifeanyi Uguru, Grace Ovute Chimdi
Plant Breed. Biotech. 2019;7(4):295-301.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.295

Field evaluation of 33 Bambara groundnut lines were carried out to estimate genetic variability, heritability and genetic advance. One-way analysis of variance (ANOVA) result showed significant differences for 14 of the 17 agronomic traits studied. The results on the variance components revealed that phenotypic variance had values (vigour index 2.30, pod length 10.09, seed length 1.64) that were slightly higher than the respective genotypic variance (vigour index 1.68, pod length 9.88, seed length 0.26). Similarly, the values (number of branches 41.91, number of nodes 68.72, internode length 59.02) of phenotypic coefficient of variation (PCV) were slightly higher than the corresponding genotypic coefficient of variation (GCV) (number of branches 40.11, number of nodes 66.98, internode length 57.31), suggesting a substantial genetic variability that can serve as a base for Bambara groundnut improvement. High estimates of heritability were observed for most characters like number of branches (95.70%), number of nodes (97.46%), internode length (97.10%), pod length (97.91%), and seed length (93.79%). Likewise, genetic advance values for most traits were high, pod length (201), number of nodes (200), internode length (200), number of branches (197) and seed yield (195), implying that improvement of seed yield in Bambara groundnut can be achieved through direct selection.

Citations

Citations to this article as recorded by  
  • Combining ability and gene action in Bambara groundnut (Vigna subterranea (L.) Verdc.) genotypes for agronomic traits
    Nomathemba Gloria Majola, Hussein Shimelis, Abe Shegro Gerrano, Jacob Mashilo
    Euphytica.2025;[Epub]     CrossRef
  • Genetic Analysis and Variability Assessment of Bambara Groundnut (Vigna subterranea L.) Lines Based on Vegetative Traits
    Atiqullah Khaliqi, Ahmad Jawid Pouyesh, Mohd Y Rafii, Md Mahmudul Hasan Khan
    Journal of Natural Science Review .2025; 3(1): 141.     CrossRef
  • Unveiling Genetic Diversity, Characterization, and Selection of Bambara Groundnut (Vigna subterranea L. Verdc) Genotypes Reflecting Yield and Yield Components in Tropical Malaysia
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Yusuff Oladosu, Md Al Mamun, Atiqullah Khaliqi, Fengjie Sun
    BioMed Research International.2022;[Epub]     CrossRef
  • Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2022;[Epub]     CrossRef
  • Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity
    Josef Gastl Filho, Osvaldo Toshiyuki Hamawaki, Ana Paula Oliveira Nogueira, Carolina Oliveira da Silva, Raphael Lemes Hamawaki, Cristiane Divina Lemes Hamawaki
    Ciência e Agrotecnologia.2022;[Epub]     CrossRef
  • Genetic Analysis and Selection Criteria in Bambara Groundnut Accessions Based Yield Performance
    Atiqullah Khaliqi, Mohd Y. Rafii, Norida Mazlan, Mashitah Jusoh, Yusuff Oladosu
    Agronomy.2021; 11(8): 1634.     CrossRef
  • Genetic analysis and selection of Bambara groundnut (Vigna subterranea [L.] Verdc.) landraces for high yield revealed by qualitative and quantitative traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2021;[Epub]     CrossRef
  • Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut
    Oluwaseyi Samuel Olanrewaju, Olaniyi Oyatomi, Olubukola Oluranti Babalola, Michael Abberton
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (Vigna subterranea (L.) Verdc.)
    Razlin Azman Halimi, Carolyn A. Raymond, Bronwyn J. Barkla, Sean Mayes, Graham J. King
    Foods.2021; 11(1): 86.     CrossRef
  • Genetic diversity in Bambara groundnut {Vigna subterranea (L.) Verdc.}
    Nwakuche Chinenye Onwubiko
    Agricultura Tropica et Subtropica.2021; 54(1): 89.     CrossRef
  • Genetic Variability, Heritability, and Clustering Pattern Exploration of Bambara Groundnut (Vigna subterranea L. Verdc) Accessions for the Perfection of Yield and Yield‐Related Traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Al Mamun, Yue Sheng
    BioMed Research International.2020;[Epub]     CrossRef
  • Enhancing the Nutritional Profile of Noodles With Bambara Groundnut (Vigna subterranea) and Moringa (Moringa oleifera): A Food System Approach
    Hilda Hussin, Peter J. Gregory, Advina L. Julkifle, Gomathy Sethuraman, Xin Lin Tan, Fadhil Razi, Sayed N. Azam-Ali
    Frontiers in Sustainable Food Systems.2020;[Epub]     CrossRef
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Analysis of Qualitative and Quantitative Traits to Identify Different Chinese Jujube Cultivars
Sea-Hyun Kim, Jae-Ik Nam, Chul-Woo Kim
Plant Breed. Biotech. 2019;7(3):175-185.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.175

Chinese jujube (Ziziphus jujuba Mill.) is highly resistant to environmental stress and can be easily cultivated, thus many jujube cultivars are being developed. However, the same cultivars had been cultivated with different names. Thus, systematic management is required to protect the intellectual property of different varieties. To aid systematic control of jujube cultivars, this study presents efficient markers for distinguishing cultivars through identification of morphological characteristics and relationships among 25 jujubes. Among 10 qualitative characteristics, flowering time, fructification time, presence of thorns, and shape of fruit were found to be useful traits for the cultivar identification. In the results of principal component analysis, 3 principal components (PC) represented 73% for the total variations. PC1 showed high positive correlations with fruit–related characteristics and PC2 formed a cluster with leaf-related characteristics. Therefore, the differences in fruit and leaf were identified as useful traits for the cultivar identification. According to the results of cluster analysis, which largely divided cultivars into 4 clusters, Sour jujube 2, with smaller fruits and leaves, was separated first. Cluster II included Chinese cultivars with large fruit sizes, such as Dalizao, Dabailing, Damaya, and Daguazao. Three Korean cultivars were grouped with Bokjo, Panzao, Zanhuangdazao, and Jinsi No. 3, and the remaining 13 cultivars formed a separate cluster.

Citations

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  • Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning
    Ewa Ropelewska, Kadir Sabanci, Muhammet Fatih Aslan
    Agriculture.2021; 11(12): 1212.     CrossRef
  • The Application of Machine Learning for Cultivar Discrimination of Sweet Cherry Endocarp
    Ewa Ropelewska
    Agriculture.2020; 11(1): 6.     CrossRef
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Evaluation of Advanced Breeding Lines of Cowpea (Vigna unguiculata L. Walp) for High Seed Yield under Farmers’ Field Conditions
Olawale Mashood Aliyu, Oluwafemi Oluwatosin Lawal, Abdulkabir Adesina Wahab, Usman Yaman Ibrahim
Plant Breed. Biotech. 2019;7(1):12-23.   Published online March 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.1.12

Climate change has imposed greater challenge on cowpea production in the savannah ecology of West Africa sub-region in the recent time, however, development of varieties that combined resilience (stability) and precocity with high seed yield would be a sustainable approach to mitigate this problem. To this end, nine advanced breeding lines were evaluated along with two commercial varieties across three locations in guinea savannah ecology, using a randomized complete block design of three replications. Results obtained for seed yield and yield components indicate that the eleven cowpeas exhibited substantial variability for all plant traits studied and implications discussed. Additive Main Effect and Multiplicative Interaction (AMMI) analysis however revealed that the variations recorded were substantially attributable to genotypic component (70–80%) and less of environment (0.7–7.0%), a measure of phenotypic stability of these cowpea lines. However, seed yield and yield components vary significantly across the three locations, which further emphasize the important role of soil and climatic variables to cowpea production. In this study, two varieties (IT07K-299-6 and IT11K-61-82) consistently combined high seed yield (> 2 tons/ha) with precocity across the three locations, and could be multiplied for distribution to farmers as short-term intervention for yield increase. Reduced seed viability of these varieties reflects seed storage challenge in cowpea farming. In addition to significant contributions of some yield components to seed yield, there was evidence of strong association between precocity and high yield, and its implication for cowpea improvement discussed.

Citations

Citations to this article as recorded by  
  • The Yield and Pest Trade-Off: An Analysis of Insecticide Spray Frequency on the Performance of a Genetically Modified Cowpea in Ghana
    Jerry A. Nboyine, Gloria A. Adazebra, Philip Agrengsore, Ebenezer Asamani, Mukhtaru Zakaria, James Y. Kwabena, Haruna K. Ali, Theophilus K. Tengey, Prince M. Etwire, Jose M. Barrero
    Agronomy.2026; 16(2): 156.     CrossRef
  • Genotypic Variation in Phosphorus-Use Efficiency Underpins Yield Stability and Drives Soil Regeneration in Cowpea (Vigna unguiculata L. Walp.)
    Olawale Mashood Aliyu, Kafayat Temitope Oladimeji, Yusuf Folorunsho Abdulkareem, Toyeeb Alabi, Tajudeen Afimoh Olajide, Wasilat Mojirola Muhammed
    Journal of Soil Science and Plant Nutrition.2026;[Epub]     CrossRef
  • Agronomic evaluation of cowpea (Vigna unguiculata L.) lines for varietal development in the Brekum West municipality of Ghana
    John Abugri Amenga, Esther Fobi Donkor, Kwabena Atakora, Samuel Novor
    Ecological Genetics and Genomics.2025; 34: 100332.     CrossRef
  • Evaluation of Cowpea Landraces under a Mediterranean Climate
    Efstathia Lazaridi, Penelope J. Bebeli
    Plants.2023; 12(10): 1947.     CrossRef
  • Cowpea Constraints and Breeding in Europe
    Efstathia Lazaridi, Penelope J. Bebeli
    Plants.2023; 12(6): 1339.     CrossRef
  • Understanding the Nexus of Genotype, Root Nodulation, and Soil Nutrients for Shoot Biomass Production and Seed Yield in Cowpea (Vigna unguiculata L. Walp)
    Olawale Mashood Aliyu, Toyeeb Abayomi Abioye, Yusuf Folorunsho Abdulkareem, Abdulqudus Ibrahim
    Journal of Soil Science and Plant Nutrition.2023; 23(2): 2566.     CrossRef
  • Genotype x environment interaction and stability in landraces of cowpea under dryland conditions
    Rubens R. Rolim, Naysa F. F. do Nascimento, Mayana F. Nascimento, Helder F. P. de Araujo
    Revista Caatinga.2023; 36(2): 339.     CrossRef
  • Genotype × environment interaction and adaptation of cowpea genotypes across six planting seasons
    Abiola AJAYİ, Alaba GBADAMOSİ, Oluwatoyin OSEKİTA, Babatunde TAİWO, Ato Babawole FAWIBE, Iyanu ADEDEJİ, Temitope OMİSAKİN
    Frontiers in Life Sciences and Related Technologies.2022; 3(1): 7.     CrossRef
  • Influence of air humidity on variability of morphological features of Vigna unguiculata (L.) Walp. in artificial conditions
    Ekaterina A. Krylova, Elena K. Khlestkina, Marina O. Burlyaeva
    Ecological genetics.2022; 20(3): 215.     CrossRef
  • Assessment of growth and development of cowpea varieties based on phenological and morphological observations
    Iryna Bobos, Oleksandr Komar, Ivan Fedosiy
    PLANT AND SOIL SCIENCE.2022;[Epub]     CrossRef
  • Variance components, correlation and path analyses in cowpea (Vigna unguiculata L., Walp)
    Olawale Mashood Aliyu, Adeyemi Odunola Tiamiyu, Muinat Usman, Yusuf Folorunsho Abdulkareem
    Journal of Crop Science and Biotechnology.2022; 25(2): 173.     CrossRef
  • Selection of superior cowpea lines for multi-traits and adaptabilities to the Piauí semi-arid using genotype by yield*trait biplot analysis
    Maurício dos Santos Araújo, Samíria Pinheiro dos Santos, Walter Frazão Lelis de Aragão, Kaesel Jackson Damasceno-Silva, Maurisrael de Moura Rocha
    Ciência e Agrotecnologia.2021;[Epub]     CrossRef
  • Cowpea development under different temperatures and carbon dioxide concentrations
    Francislene Angelotti, Laise Guerra Barbosa, Juliane Rafaele Alves Barros, Carlos Antonio Fernandes dos Santos
    Pesquisa Agropecuária Tropical.2020;[Epub]     CrossRef
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The Interrelationship of Agronomic and Physiological Traits as Affected by Irrigation Regimes in Wheat: Application of Multivariate Statistical Analyses
Samaneh Zamani-Babgohari, Bahram Heidari, Ali Dadkhodaie
Plant Breed. Biotech. 2017;5(3):172-182.   Published online September 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.3.172

Understanding the interrelationships between agronomic and water status characters helps development of drought tolerant cultivars. In the present study, 34 wheat genotypes were used to investigate joint variability of water status characters and yield related traits under normal irrigation regimes and drought stress in 2014–2015 growing season. The results indicated that selection of genotypes based on loadings in factors number 1, 3 and 4 would be of beneficial in terms of increasing grain yield related traits under drought stress conditions. In canonical correlation analysis (CCA), the first (U1, V1) and second (U2, V2) pairs canonical variables (CV) explained 75% and 67% of the total joint variability of agronomic and physiological traits under drought stress conditions, respectively. The first (V1) physiological CV that had positive correlation with water saturated deficit (WSD, r = 0.63) and excised leaf water loss (ELWL, r = 0.35) was more correlated with grain yield and harvest index under drought stress. The second (V2) physiological CV which was more influenced by variations in initial water content (IWC, r = 0.6) and leaf water content (LWC, r = 0.65) was associated with spike length and spikelet per spike variations. Significant between-groups mean squares advocated that classification of genotypes into four groups was the best possible branching under both conditions. Therefore, making crosses between genotypes of cluster numbers 1 (with high grain yield and its components) and 3 (having shortest height) can be used for the production of extreme or novel phenotypes for grain yield and dwarfness in the progenitors in further breeding programs for drought tolerance.

Citations

Citations to this article as recorded by  
  • Arbuscular Mycorrhizal Symbiosis Differentially Affects the Nutritional Status of Two Durum Wheat Genotypes under Drought Conditions
    Valentina Fiorilli, Moez Maghrebi, Mara Novero, Cristina Votta, Teresa Mazzarella, Beatrice Buffoni, Stefania Astolfi, Gianpiero Vigani
    Plants.2022; 11(6): 804.     CrossRef
  • Mitigating the effect of drought stress on yield in wheat (Triticum aestivum) using arbuscular mycorrhiza fungi (Glomus mosseae)
    BABITA RANI, SHASHI MADAN, POOJA POOJA, K D SHARMA, NISHA KUMARI, ASHWANI KUMAR
    The Indian Journal of Agricultural Sciences.2018; 88(12): 1903.     CrossRef
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Estimates of Genetic Variability for Seedling Traits in Fluted Pumpkin (Telfairia occidentalis Hook. F)
Lawrence Stephen Fayeun, Lateef Akinkunle Hammed, Olusegun Adebayo Oduwaye, Jide Umar Madike, Edith Uqueen Ushie
Plant Breed. Biotech. 2016;4(2):262-270.   Published online May 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.2.262

An experiment was conducted to evaluate genetic variation among twenty-one fluted pumpkin genotypes for seedling traits. The seeds of the fluted pumpkin were germinated in nursery bags filled with saw dust at the Federal University of Agriculture, Abeokuta and the Federal University of Technology, Akure, Nigeria between July and August, 2013. The experiment was laid out in completely randomized design with three replications. Characters evaluated were emergence percentage (E%), emergence index, emergence index rate, vine length (cm), leaf area (cm2), number of leaves, shoot dry weight (g), and seedling vigour index (SVI). Significant (P≤0.05) differences were observed among the fluted pumpkin genotypes for the evaluated characters. High E% was observed for genotypes Ftn45 (94.80%), Ftn43 (93.30%), Ftn57 (93.30%), Fte41 (90.0%), Ftn61 (86.70%), and Ftm11 (83.30%). Also, these genotypes had above average values for SVI. High phenotypic coefficients of variation and genotypic coefficients of variation were observed for leaf area (75.44%) and dry shoot weight (55.85%), respectively while heritability estimates above 50% was observed for leaf area (82.0%), dry weight (77.78%), E% (70.84%), and SVI (51.98%). The genetic advance was high for E% (38.37), SVI (38.09), and leaf area. SVI, E%, vine length, and leaf area had significant positive correlation with most of the traits therefore, they can be used as selection criteria in fluted pumpkin. Therefore, genetic improvement of early seedling can be used for selection programme in fluted pumpkin.

Citations

Citations to this article as recorded by  
  • Interrelationship Between Emergence and Yield Parameters in Mung Bean: Implication for Selection
    Qudrah Olaitan Oloyede-Kamiyo, Adedotun Daniel Adewumi, Paul Chiedozie Ukachukwu, Mayowa Segun Oladipo
    Acta Horticulturae et Regiotecturae.2024; 27(2): 90.     CrossRef
  • Genotype × environment interaction and adaptation of cowpea genotypes across six planting seasons
    Abiola AJAYİ, Alaba GBADAMOSİ, Oluwatoyin OSEKİTA, Babatunde TAİWO, Ato Babawole FAWIBE, Iyanu ADEDEJİ, Temitope OMİSAKİN
    Frontiers in Life Sciences and Related Technologies.2022; 3(1): 7.     CrossRef
  • Probing of the genetic components of seedling emergence traits as selection indices, and correlation with grain yield characteristics of some tropical maize varieties
    Sunday Ayodele Ige, Omolaran Bello, Aremu Charity, Abolusoro Stephen
    Open Agriculture.2021; 6(1): 223.     CrossRef
  • Multivariate analysis techniques reveal significant morphogenetic variability in pumpkin landraces in Kenya
    James Kirimi Kiramana, Dorcas Khasungu Isutsa
    International Journal of Biosciences (IJB).2018; : 297.     CrossRef
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Phenotypic Analysis of Seed Yield and Yield Components in Cowpea (Vigna unguiculata L., Walp)
Olawale Mashood Aliyu, Bukola Oluwaseun Makinde
Plant Breed. Biotech. 2016;4(2):252-261.   Published online May 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.2.252

Poor seed yield remains a great challenge for cowpea production in sub-Sahara Africa and continuous evaluation of available genetic resource to develop high and stable yielding varieties is the panacea to this regional food security conundrum. In this study, 21 cowpea breeding lines were evaluated for phenotypic analysis of seed yield components for two years in a randomized complete block design of 3 replications. All the yield components exhibited significant genotypic variation, while flowering, pod maturity and seed yield traits recorded significant variation for years and its interactions. These cowpeas, which are predominantly early-medium maturing biotypes, exhibited relative phenotypic stability for the yield components across years (seasons) except seed yield, being a final product of complex physiological process. Relationships between flowering/pod maturity and seed size were positive and significant. By contrast, pods/plant, seeds/plant and total seed yield recorded negative correlations with pod maturity. However, seeds/plant and pods/plant are the most contributory components to seed-yield with correlation coefficients of r=0.95, 0.89, respectively. Although seed size had negative correlation with seeds/pod, but strong linkage between seed number (seeds/pod, seeds/plant) and seed yield; and additive gene nature of seed size, suggest a weak size-number trade-off in cowpea. Genetic variance components indicates high genetic contributions over non-genetic to plant phenotypic variability with high heritability values (0.75–0.91). Six cowpea lines (IT10K-837-1, IT07K-299-6, IT10K-815-5, IT10K-817-7, IT08K-150-24, and IT11K-61-82) with multiple quality yield traits could be selected for immediate farmers use and future genetic improvement.

Citations

Citations to this article as recorded by  
  • Phenotypic evaluation of gene-pyramided cowpea lines for resistance to Striga gesnerioides using multi-origin inoculum from Nigeria
    Isaiah A. Gabriel, Lucky O. Omoigui
    Discover Agriculture.2026;[Epub]     CrossRef
  • Cowpea (Vigna unguiculata (L.) Walp.)–maize (Zea mays L.) intercrops grown with fertilizers enhanced cowpea grain yield and profitability in Guinea savannah of Ghana
    Richard Kwadwo Kombat, Kwadwo Gyasi Santo, Kwabena Atakora, Abdul Aziz Khalid, Ayaaba Adakudugu Atongi
    Agrosystems, Geosciences & Environment.2026;[Epub]     CrossRef
  • Generation mean analysis, genetic variability, advance, and heterosis for seed size traits in cowpea (Vigna unguiculata L. Walp.)
    Frederick Justice Awuku, Francis Kusi, John Saviour Eleblu, Isaac Asante, Kwadwo Ofori, Yosef Alemu Bekele, Patrick Attamah, Emmanuel Yaw Owusu, Gloria Mensah, Salim Lamini, Victoria Dedoe Larweh
    Ecological Genetics and Genomics.2026; 38: 100435.     CrossRef
  • Heritability and expression of yield and yield components in cowpea, an underutilized crop in Africa
    Milcah Bogaleng Matjeke, Maryke Tine Labuschagne, Abe Shegro Gerrano, Adré Minnaar-Ontong, Ntombokulunga Wedy Mbuma
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Genomics data reveals DNA polymorphism associated with seed number per pod (SNPP) in pigeonpea, Cajanus cajan (L.) Millsp.
    Akash Paul, Kuldeep Kumar, Machindra Nirgude, Antara Das, Sandhya Sharma, Kishor Gaikwad
    The Nucleus.2025;[Epub]     CrossRef
  • Genome-wide association studies dissect the genetic architecture of seed and yield component traits in cowpea (Vigna unguiculata L. Walp)
    Habib Akinmade, Rebecca Caroline Ulbricht Ferreira, Mario Henrique Murad Leite Andrade, Claudio Fernandes, Pablo Sipowicz, María Muñoz-Amatriaín, Esteban Rios, T Jamann
    G3: Genes, Genomes, Genetics.2025;[Epub]     CrossRef
  • Integrated analysis of agronomic traits and nutritional composition in Bambara groundnut: correlation, regression, and path coefficient approaches
    Nokuthula C. Hlanga, Albert T. Modi, Isack Mathew, Julia Sibiya
    Acta Agriculturae Scandinavica, Section B — Soil & Plant Science.2024;[Epub]     CrossRef
  • Synergistic effects of melatonin and 24-epibrassinolide on chickpea water deficit tolerance
    Matin Abdoli, Mohamad Reza Amerian, Mostafa Heidari, Amin Ebrahimi
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Morphological diversity, correlation studies, and multiple-traits selection for yield and yield components of local cowpea varieties
    Nuryati Nuryati, Rudy Soehendi, Catur Hermanto, Suyamto Suyamto, Ruly Krisdiana, Saptowo Jumali Pardal, Jumakir Jumakir, Mochammad Muchlish Adie, Ayda Krisnawati, Yuliantoro Baliadi, Basri Abubakar
    Open Agriculture.2024;[Epub]     CrossRef
  • Cowpea (Vigna unguiculata) Cultivation and Breeding in the Republic of Korea: Advances and Future Perspectives
    Dong-Kwan Kim, Kanivalan Iwar, Kingsley Ochar, Sin-Young Park, Eun-Byul Go, Kyung-Dong Lee, Seong-Hoon Kim
    Agronomy.2024; 14(11): 2679.     CrossRef
  • Variations of seed size and seed number per spikelet and their effects on seed germination in hulled oats
    Zhan Yuan, René Gislum, Zhang Jing, Jia Zhifeng, Ma Xiang, Liu Haicong, Guo Rongming, Zhang Wei, Fang Jiaqi, Qingping Zhou, Wang Hui
    Grass and Forage Science.2024; 79(1): 29.     CrossRef
  • Stability analysis of dry matter and seed yield of cowpea [Vigna unguiculata (L.) walp.] genotypes in humid and lowland areas of southwestern Ethiopia
    Melkam Aleme, Gezahegn Mengistu, Dereje Tulu, Mesfin Dejene, Shiferaw Temteme, Fekede Feyissa
    Ecological Genetics and Genomics.2024; 33: 100295.     CrossRef
  • Single and multi‐trait genome‐wide association studies identify genomic regions associated with phenological traits in cowpea
    Mario Henrique Murad Leite Andrade, Rebecca Caroline Ulbricht Ferreira, Claudio Carlos Fernandes Filho, Pablo Sipowicz, Esteban Fernando Rios
    Crop Science.2023; 63(6): 3443.     CrossRef
  • Critical components and loss factors in inoculated and non-inoculated cowpea varieties grown in the Brazilian Amazon
    Emerson Cristi de Barros, Iolanda Maria Soares Reis, José Augusto Amorim Silva do Sacramento, Paulo Sergio Taube, Igor Cardoso Feijão, Willian Nogueira de Sousa, Nayane Fonseca Brito
    Acta Agronómica.2023; 71(1): 55.     CrossRef
  • Understanding the Nexus of Genotype, Root Nodulation, and Soil Nutrients for Shoot Biomass Production and Seed Yield in Cowpea (Vigna unguiculata L. Walp)
    Olawale Mashood Aliyu, Toyeeb Abayomi Abioye, Yusuf Folorunsho Abdulkareem, Abdulqudus Ibrahim
    Journal of Soil Science and Plant Nutrition.2023; 23(2): 2566.     CrossRef
  • Current status of molecular tools development for cowpea [Vigna unguiculata (L.) Walp.] improvement
    Moumouni Iro Sodo Abdoul, Fatokun Christian, Olasanmi Bunmi, Boukar Ousmane
    African Journal of Biotechnology.2023; 22(8): 26.     CrossRef
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Preliminary Characterization and Evaluation of Landraces of Indian Spinach (Basella spp. L.) for Agro-economic and Quality Traits
Medagam Thirupathi Reddy, Hameedunnisa Begum, Neelam Sunil, Pandravada Someswara Rao, Natarajan Sivaraj, Sashi Kumar
Plant Breed. Biotech. 2014;2(1):48-63.   Published online March 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.1.048

Indian spinach (Basella spp. L.) is an underutilized and underexploited indigenous leafy vegetable which has high nutritional and medicinal value and extensively used in the sub-continent. Landrace germplasm is endowed with rich genetic variability for various yield and quality traits. A total of six accessions collected through an exploration during 2010 were pre-bred by selfing during the October–January cropping season in 2011. These landraces were evaluated in a randomized block design with four replications in June–September, 2012 at Vegetable Research Station, Dr. Y. S. R. Horticultural University, Rajendranagar to assess the genetic diversity, variability, heritability and genetic advance for yield and its components in the material. Multivariate analysis following Ward’s minimum variance-method revealed distinct clustering pattern. Analysis of variance revealed highly significant differences among all genotypes for all the studied traits indicating considerable variability among ecotypes for most of the measured parameters. There was significant variability for genetic potential of all genotypes for different traits under study. The highest variability at genotypic level was observed for stalk yield (73.95%) followed by leaf-stalk ratio (46.70%) and weight of tender shoot (41.25%). Low to high estimates of broad sense heritability were found in different traits. High estimates of heritability (>60%) coupled with high genetic advance as percent of mean (>20%) for petiole length, internodal length, weight of tender shoot, stalk yield, leaf-stalk ratio and harvest index revealed that most likely the heritability is due to additive gene effects and selection may be effective.

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