Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection

The characterization of diversity in germplasm collection is important to plant breeders to utilize and to the genebank curators to manage the collection efficiently and effectively. The objective of our study was to describe the phenotypic diversity in the 13342 accessions of groundnut (Arachis hyp...

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Autores principales: Upadhyaya, Hari D., Bramel-Cox, P.J., Ortíz, R., Singh, S.
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2002
Materias:
Acceso en línea:https://hdl.handle.net/10568/99955
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author Upadhyaya, Hari D.
Bramel-Cox, P.J.
Ortíz, R.
Singh, S.
author_browse Bramel-Cox, P.J.
Ortíz, R.
Singh, S.
Upadhyaya, Hari D.
author_facet Upadhyaya, Hari D.
Bramel-Cox, P.J.
Ortíz, R.
Singh, S.
author_sort Upadhyaya, Hari D.
collection Repository of Agricultural Research Outputs (CGSpace)
description The characterization of diversity in germplasm collection is important to plant breeders to utilize and to the genebank curators to manage the collection efficiently and effectively. The objective of our study was to describe the phenotypic diversity in the 13342 accessions of groundnut (Arachis hypogaea L.) germplasm contained in the ICRISAT genebank. The germplasm accessions were characteized for 16 morphological descriptors, 10 agronomic traits in two seasons, and for reaction to early leaf spot and groundut rosette virus disease, to determine the phenotypic variation in different geographical regions. The phenotypic variation was found for most traits in all the regions. The means for different agronomic traits differed significantly among regions. The variances for all the traits among regions were heterogeneous. South America which showed 100% range variation for 12 of the 16 morphological descriptors and on average showed highest range variation. The Shannon-Weaver diversity index was variable in different regions for different traits. South America among regions, primary seed colour among morphological traits, and leaflet length among agronomic traits showed highest pooled diversity index. Three of the six botanical varieties, aequatoriana, hirsuta, and peruviana were poorly represented and need to be collected. Principal component analysis (PCA) using 38 traits and clustering on first seven PC scores delineated three regional clusters; consisting North America, Middle East, and East Asia in the first cluster, South America in the second cluster, and West Africa, Europe, Central Africa, South Asia, Oceania, Southern Africa, Eastern Africa, Southeast Asia, Central Asia, and Caribbean in the third cluster.
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spelling CGSpace999552025-09-08T09:09:14Z Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection Upadhyaya, Hari D. Bramel-Cox, P.J. Ortíz, R. Singh, S. descriptors peanuts agronomic traits arachis hypogaea geographical regions groundnuts The characterization of diversity in germplasm collection is important to plant breeders to utilize and to the genebank curators to manage the collection efficiently and effectively. The objective of our study was to describe the phenotypic diversity in the 13342 accessions of groundnut (Arachis hypogaea L.) germplasm contained in the ICRISAT genebank. The germplasm accessions were characteized for 16 morphological descriptors, 10 agronomic traits in two seasons, and for reaction to early leaf spot and groundut rosette virus disease, to determine the phenotypic variation in different geographical regions. The phenotypic variation was found for most traits in all the regions. The means for different agronomic traits differed significantly among regions. The variances for all the traits among regions were heterogeneous. South America which showed 100% range variation for 12 of the 16 morphological descriptors and on average showed highest range variation. The Shannon-Weaver diversity index was variable in different regions for different traits. South America among regions, primary seed colour among morphological traits, and leaflet length among agronomic traits showed highest pooled diversity index. Three of the six botanical varieties, aequatoriana, hirsuta, and peruviana were poorly represented and need to be collected. Principal component analysis (PCA) using 38 traits and clustering on first seven PC scores delineated three regional clusters; consisting North America, Middle East, and East Asia in the first cluster, South America in the second cluster, and West Africa, Europe, Central Africa, South Asia, Oceania, Southern Africa, Eastern Africa, Southeast Asia, Central Asia, and Caribbean in the third cluster. 2002 2019-03-03T05:54:17Z 2019-03-03T05:54:17Z Journal Article https://hdl.handle.net/10568/99955 en Limited Access Upadhyaya, H.D., Bramel, P.J., Ortiz, R. & Singh, S. (2002). Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection. Euphytica 128(2), 191–204.
spellingShingle descriptors
peanuts
agronomic traits
arachis hypogaea
geographical regions
groundnuts
Upadhyaya, Hari D.
Bramel-Cox, P.J.
Ortíz, R.
Singh, S.
Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title_full Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title_fullStr Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title_full_unstemmed Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title_short Geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
title_sort geographical patterns of diversity for morphological and agronomic traits in the groundnut germplasm collection
topic descriptors
peanuts
agronomic traits
arachis hypogaea
geographical regions
groundnuts
url https://hdl.handle.net/10568/99955
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