Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/agriculture12040531 |
Genotype-by-Environment Interaction for the Contents of Micro-Nutrients and Protein in the Green Pods of Cowpea (Vigna unguiculata L. Walp.) | |
Gerrano, Abe Shegro; Thungo, Zamalotshwa Goodness; Shimelis, Hussein; Mashilo, Jacob; Mathew, Isack | |
通讯作者 | Thungo, ZG |
来源期刊 | AGRICULTURE-BASEL
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EISSN | 2077-0472 |
出版年 | 2022 |
卷号 | 12期号:4 |
英文摘要 | Cowpea (Vigna unguiculata L. Walp.) is a drought-tolerant legume crop widely cultivated in arid and semi-arid regions of sub-Saharan Africa (SSA), including South Africa. The leaves, young and immature pods, and grains of cowpea are a vital source of plant-based proteins and essential nutrients for human wellbeing. The objective of this study was to determine the effect of genotype-by-environment interaction (GEI) on the contents of micro-nutrients and protein content of the green pods of cowpea to recommend superior genotypes for cultivation and breeding. Fifteen genetically diverse cowpea genotypes were evaluated across six test environments in South Africa, using a randomized complete block design replicated three times. Micro-nutrients such as iron (Fe), manganese (Mn), zinc (Zn), and total protein (TP) content were determined in the immature pods of cowpea. Data were subjected to additive main effects and multiplicative interaction (AMMI) analysis. Significant (p < 0.05) genotype (G) differences were detected for Fe, Mn, Zn and TP, suggesting the presence of genetic divergence for selection. Furthermore, a significant (p < 0.05) environment (E) effect was recorded for all studied nutrient, indicating the impact of the test environments on nutrient compositions. The GEI effect was significant for all the assessed nutrients, indicating that specific and broadly adapted genotypes could be identified. Based on best linear unbiased estimates (BLUEs) and best linear unbiased predictors (BLUPs) analyses, the following ranges of nutrient compositions were observed: Fe (83.70-109.03 and 69.77-134.16 mg/kg), Mn (20.60-33.83 and 18.75-36.83 mg/kg), Zn (33.79-40.53 and 28.81 mg/kg), and TP (22.37-24.54 and 21.44-25.25 mg/kg), respectively, across the tested environments. The AMMI test procedure (F R -test) identified the first interaction principal component axis (IPCA-1) to be a significant (p < 0.05) component of the GEI, explaining >91% of phenotypic variation in nutrient contents among the tested genotypes across environments. Cowpea genotypes Meterlong Bean and TVU-14196 were identified for their high Fe, Zn and Mn contents and recommended for cultivation in Mafikeng, Potchefstroom and Roodeplaat in South Africa. For TP, genotypes Meterlong Bean and Kisumu Mix had stable performance and are recommended for production at all the test environments. The identified genotypes are recommended for future cultivation and breeding to supplement micro-nutrients and protein and combat nutrient deficiencies and malnutrition in South Africa. |
英文关键词 | AMMI BLUEs BLUPs cowpea green pods nutrient analysis |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000786772500001 |
WOS关键词 | YIELD TRIALS ; STATISTICAL-ANALYSIS ; AMMI ANALYSIS ; PREDICTION ; GGE |
WOS类目 | Agronomy |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/391675 |
推荐引用方式 GB/T 7714 | Gerrano, Abe Shegro,Thungo, Zamalotshwa Goodness,Shimelis, Hussein,et al. Genotype-by-Environment Interaction for the Contents of Micro-Nutrients and Protein in the Green Pods of Cowpea (Vigna unguiculata L. Walp.)[J],2022,12(4). |
APA | Gerrano, Abe Shegro,Thungo, Zamalotshwa Goodness,Shimelis, Hussein,Mashilo, Jacob,&Mathew, Isack.(2022).Genotype-by-Environment Interaction for the Contents of Micro-Nutrients and Protein in the Green Pods of Cowpea (Vigna unguiculata L. Walp.).AGRICULTURE-BASEL,12(4). |
MLA | Gerrano, Abe Shegro,et al."Genotype-by-Environment Interaction for the Contents of Micro-Nutrients and Protein in the Green Pods of Cowpea (Vigna unguiculata L. Walp.)".AGRICULTURE-BASEL 12.4(2022). |
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