Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-06-04T23:48:40.427Z Has data issue: false hasContentIssue false

Evaluation of phenological development and agronomic traits in exotic common bean germplasm across multiple environments

Published online by Cambridge University Press:  29 August 2023

T. Basavaraja*
Affiliation:
ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
Anupam Tripathi
Affiliation:
ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
Rahul Chandora
Affiliation:
ICAR-National Bureau of Plant Genetic Resources – Regional Station, Shimla, India
Aditya Pratap
Affiliation:
ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
L. Manjuanatha
Affiliation:
ICAR-Indian Institute of Horticultural Research, Bangalore, Karnataka, India
S. Gurumurthy*
Affiliation:
ICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India
Mohar Singh
Affiliation:
ICAR-National Bureau of Plant Genetic Resources – Regional Station, Shimla, India
J. C. Rana
Affiliation:
Alliance Bioversity International – CIAT, Regional Office, New Delhi, India
S. D. Nitesh Kumar
Affiliation:
Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, India
P. K. Katiyar
Affiliation:
ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
Bansa Singh
Affiliation:
ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
*
Corresponding authors: T. Basavaraja; Email: basu86.gpb@gmail.com; S. Gurumurthy; Email: guru2010.murthy@gmail.com
Corresponding authors: T. Basavaraja; Email: basu86.gpb@gmail.com; S. Gurumurthy; Email: guru2010.murthy@gmail.com

Abstract

Twenty-nine exotic common bean germplasms and three elite cultivars were examined for phenotypic diversity in two bean-producing environments (Kanpur and Shimla) across three winter seasons and one rainy season. The estimate of genetic variability parameters revealed that the exotic bean germplasm has enough diversity for all the evaluated features. The highest genotypic and phenotypic coefficients of variation were found in seed yield, followed by 100-seed weight, pods per plant and pod length. Furthermore, seed yield was the most heritable and genetically advanced quantitative feature, followed by 100-seed weight, pod length and pods per plant. According to a trait association study, the days to maturity of phenological traits have a strong positive correlation with the days to initial flowering and the days to 50% flowering. Pods per plant and seeds per pod most strongly influence increased grain yield. The first two principal components accounted for 63.3% of the variation and demonstrated significant diversity among exotic bean lines for the traits studied, according to the principal component analysis. According to the hierarchical clustering analysis, 29 accessions and three cultivars were divided into three groups. Cluster I contains early flowering and maturing accessions, while cluster III contains high pods per plant and an increased grain yield of germplasms. The fundamental source of phenological fluctuations in both environmental circumstances is temperature. This study found four genetically divergent and stable performance accessions, including EC932021, EC932189 (earliness), and EC931452, EC931971 (high grain yield), which may aid in the establishment of a bean breeding programme.

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abaidoo, R, Dare, M, Killani, S and Opoku, A (2017) Evaluation of early maturing cowpea (Vigna unguiculata) germplasm for variation in phosphorus use efficiency and biological nitrogen fixation potential with indigenous rhizobial populations. The Journal of Agricultural Science 155, 102116.CrossRefGoogle Scholar
Al-Naggar, AMM, Shafik, MM and Musa, RYM (2020) Genetic diversity based on morphological traits of 19 maize genotypes using principal component analysis and GT biplot. Annual Research & Review in Biology 35, 6885.CrossRefGoogle Scholar
Amini, A, Ghannadha, M and Abd-Mishani, C (2002) Genetic diversity and correlation between different traits. Iranian Journal of Agricultural Science 33, 605615.Google Scholar
Asfaw, A, Blair, MW and Almekinders, C (2009) Genetic diversity and population structure of common bean (Phaseolus vulgaris L.) landraces from the East African highlands. Theoretical and Applied Genetics 120, 112.CrossRefGoogle ScholarPubMed
Balardin, RSE, Costa, ND, Ribeiro, LMC, Dutra, IFD and Costa, (2000) Feijão: Recomendações técnicas para cultivo no Rio Grande do Sul. Santa Maria, Comissão Estadual de Pesquisa do Feijão 80.Google Scholar
Barecha, G (2015) Genetic variability and path coefficient analysis for yield and yield related traits in common bean (Phaseolus vulgaris L.) accessions at Haramaya University (MSc thesis). Haramaya University, Haramaya, Ethiopia.Google Scholar
Basavaraja, T, Manjunatha, L, Chandora, R, Gurumurthy, S and Singh, NP (2021) Assessment of genetic variability, diversity, and trait correlation analysis in common bean (Phaseolus vulgaris L.) genotypes. Legume Research 44, 252260.Google Scholar
Basavaraja, T, Manjunatha, L, Chandora, R, Singh, M, Rathod, S, Dubey, V, Kanishka, CR, Singh, F and Singh, NP (2022) Assessment of phenotypic diversity and multi-locational screening against bean common mosaic virus (BCMV) disease resistance in dry bean (Phaseolus vulgaris L.) germplasm. Plant Genetic Resources 20, 7986.CrossRefGoogle Scholar
Beebe, SE, Rao, IM, Blair, MW and Acosta-Gallegos, JA (2013) Phenotyping common beans for adaptation to drought. Frontiers in Physiology 4, 35.CrossRefGoogle ScholarPubMed
Boru, G (2014) Genetic variation and characters association study for drought tolerance in large white seed common bean (Phaseolus vulgaris L.) genotypes at Melkassa, Rift valley, Ethiopia (MSc Thesis). Jimma University, Jimma, Ethiopia.Google Scholar
Burton, GN and Devane, EM (1953) Estimating heritability in fall fescue (Festuca arundiancea L.) from replicated clonal materials. Agronomy Journal 45, 478481.CrossRefGoogle Scholar
Castro-Guerrero, NA, Isidra-Arellano, MC, Mendoza-Cozatl, DG and Valdés-López, O (2016) Common bean: a legume model on the rise for unraveling responses and adaptations to iron, zinc, and phosphate deficiencies. Frontiers in Plant Science 7, 600.CrossRefGoogle Scholar
Choudhary, N, Gupta, M, Shafi, S, Jan, S, Mir, AH, Singh, B and Mir, RR (2022) Molecular diversity and nutriment studies of common bean. Crop & Pasture Science 73, 249262.CrossRefGoogle Scholar
De Ron, AM, Rodiño, AP, Santalla, M, González, AM, Lema, MJ, Martín, I and Kigel, J (2016). Seedling emergence and phenotypic response of common bean germplasm to different temperatures under controlled conditions and in open field. Frontiers in Plant Science 7. https://doi.org/10.3389/fpls.2016.01087CrossRefGoogle ScholarPubMed
FAOSTAT (2020) Statistical Database. Rome: Food and Agriculture Organization of the United Nations, https://www.fao.org/faostat/en/#data/QCL/visualize (Dated: February 17, 2022).Google Scholar
Frank, SJ and Fehr, WR (1981) Associations among pod dimensions and seed weight in soybeans. CropScience 21, 547550.Google Scholar
Fukuta, N, Fukuzono, K, Kawaide, H, Abe, H and Nakayama, M (2006) Physical restriction of pods causes seed size reduction of a brassinosteroid-deficient faba bean (Vicia faba). Annals of Botany 97, 6569.CrossRefGoogle ScholarPubMed
García-Fernández, C, Campa, A, Garzón, AS, Miklas, P and Ferreira, JJ (2021) GWAS of pod morphological and color characters in common bean. BMC Plant Biology 21, 113.CrossRefGoogle ScholarPubMed
González, AM, Yuste-Lisbona, FJ, Weller, J, Vander Schoor, JK, Lozano, R and Santalla, M (2021) Characterization of QTL and environmental interactions controlling flowering time in Andean common bean (Phaseolus vulgaris L.). Frontiers in Plant Science 11, 599462.CrossRefGoogle ScholarPubMed
Govindaraj, M, Vetriventhan, M and Srinivasan, M (2015) Importance of genetic diversity assessment in crop plants and its recent advances: an overview of its analytical perspectives. Genetics Research International 114. https://doi.org/10.1155/2015/431487CrossRefGoogle ScholarPubMed
Holland, JB (2004) Breeding: Incorporation of Exotic Germplasm. Trivandrum, India: CRC Pres E-books, pp. 222224.Google Scholar
Islam, FM, Basford, KE, Redden, RJ, González, AV, Kroonenberg, PM and Beebe, S (2002) Genetic variability in cultivated common bean beyond the two major gene pools. Genetic Resources and Crop Evolution 49, 271283.CrossRefGoogle Scholar
Johnson, HW, Robinson, HF and Comstock, RE (1955) Estimation of genetic and environmental variability in soybeans. Agronomy Journal 47, 314318.CrossRefGoogle Scholar
Krishnamurthy, L, Gaur, PM, Basu, PS, Chaturvedi, SK, Tripathi, S, Vadez, V, Rathore, A, Varshney, RK and Gowda, CL (2011) Large genetic variation for heat tolerance in the reference collection of chickpea (Cicer arietinum L.) germplasm. Plant Genetic Resources 9, 5969.CrossRefGoogle Scholar
Kumar, V, Sharma, S, Sharma, AK, Kumar, M, Sharma, S, Malik, S, Singh, KP, Sanger, RS and Bhat, KV (2014) Genetic diversity in Indian common bean (Phaseolus vulgaris L.) using random amplified polymorphic DNA markers. Physiology and Molecular Biology of Plants 14, 384387.Google Scholar
Manggoel, W, Uguru, MI, Ndam, ON and Dasbak, MA (2012) Genetic variability, correlation and path coefficient analysis of some yield components of ten cowpea (Vigna unguiculata (L.) Walp) accessions. Journal of Plant Breeding and Crop Science 4, 8086.CrossRefGoogle Scholar
Mndolwa, EJ, Msolla, SN, Porch, TG and Miklas, PN (2019) GGE biplot analysis of yield stability for Andean dry bean accessions grown under different abiotic stress regimes in Tanzania. African Crop Science Journal 27, 413425.CrossRefGoogle Scholar
Ndlangamandla, VV and Ntuli, NR (2021) Morpho-agronomic and genetic variation among Phaseolus vulgaris landraces from selected provinces of South Africa. Journal of Crop Science and Biotechnology 24, 120.Google Scholar
Pratap, A, Das, A, Kumar, S and Gupta, S (2021) Current perspectives on introgression breeding in food legumes. Frontiers in Plant Science 11. https://doi.org/10.3389/fpls.2020.589189CrossRefGoogle ScholarPubMed
Rana, JC, Sharma, TR, Tyagi, RK, Chahota, RK, Gautam, NK, Singh, M, Sharma, PN and Ojha, SN (2015) Characterisation of 4274 accessions of common bean (Phaseolus vulgaris L.) germplasm conserved in the Indian gene bank for phenological, morphological and agricultural traits. Euphytica 205, 441457.CrossRefGoogle Scholar
Reichert, JM, Rodrigues, MF, Awe, GO, Riquelme, UF, Kaiser, DR and Reinert, DJ (2015) Common bean in highly variable weather conditions, on sandy soils and food security in a subtropical environment. Food and Energy Security 4, 219237.CrossRefGoogle Scholar
Rendón-Anaya, M, Montero-Vargas, JM, Saburido-Álvarez, S, Vlasova, A, Capella-Gutierrez, S, Ordaz-Ortiz, JJ, Aguilar, OM, Vianello-Brondani, RP, Santalla, M, Delaye, L and Gabaldón, T (2017) Genomic history of the origin and domestication of common bean unveils its closest sister species. Genome Biology 18. https://doi.org/10.1186/s13059-017-1190-6CrossRefGoogle ScholarPubMed
Seyoum, M, Alamerew, S and Bantte, K (2012) Genetic variability, heritability, correlation coefficient and path analysis for yield and yield related traits in upland rice (Oryza sativa L.). Journal of Plant Sciences 7,1322.CrossRefGoogle Scholar
Sharma, TR, Rana, JC, Sharma, R, Rathour, R and Sharma, PN (2006) Genetic diversity analysis on exotic and Indian accessions of common bean using RAPD markers. Indian Journal of Genetics and Plant Breeding 66, 275278.Google Scholar
Shiferaw, T, Melis, R, Sibiya, J, Assefa, A and Keneni, G (2020) Participatory variety selection of common bean (Phaseolus vulgaris L.) genotypes in the major bean producing areas of Ethiopia. Australian Journal of Crop Science 14, 10551063.Google Scholar
Upadhyaya, HD, Dwivedi, SL, Gowda, CL and Singh, S (2007) Identification of diverse germplasm lines for agronomic traits in a chickpea (Cicer arietinum L.) core collection for use in crop improvement. Field Crops Research 100, 320326.CrossRefGoogle Scholar
Wallace, DH and Yan, WK (1998) Simulation and prediction of plant phenology for five crops based on photoperiod x temperature interaction. Annals of Botany 81, 705716.Google Scholar
Webber, CR and Moorthy, BR (1952) Heritable and non-heritable relationship and variablity of oil content and agronomic characteristics in the F generation of soybean crosses. Journal of Agronomy 44, 202209.CrossRefGoogle Scholar
Yang, Y, Shi, J, Wang, X, Liu, G and Wang, H (2016) Genetic architecture and mechanism of seed number per pod in rapeseed: elucidated through linkage and near-isogenic line analysis. Scientific Reports 6, https://doi.org/10.1038/srep24124Google ScholarPubMed
Zakizadeh, M, Moghaddam, ME and Kahrizi, D (2010) Study on genetic variation and relationship between plant characteristics and grain yield in long spike bread wheat (Triticum aestivum L.) genotypes using multivariate analysis. Iranian Journal of Crop Sciences 12, 1830.Google Scholar
Zarei, B, Kahrizi, D, Aboughadareh, AP and Sadeghi, F (2012) Correlation and path coefficient analysis for determining interrelationships among grain yield and related characters in corn hybrids (Zea mays L.). International Journal of Agriculture and Crop Sciences 4, 15191522.Google Scholar
Supplementary material: File

Basavaraja et al. supplementary material
Download undefined(File)
File 622.7 KB