Janila, P and Manohar, S S and Patne, N and Variath, M T and Nigam, S N (2016) Genotype × Environment Interactions for Oil Content in Peanut and Stable High-Oil-Yielding Sources. Crop Science, 56. 01-10. ISSN 0011-183X
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Abstract
Peanut (Arachis hypogaea L.) genotypes with superior and stable agronomic performance and high oil content were identified from testing of 160 advanced breeding lines over six seasons. The study revealed significant genotype and genotype environment (G E) interaction determining oil and protein content; shelling outturn; and pod, kernel, and oil yield in peanut. The variability among genotypes was high across the environments for pod yield (546– 7382 kg ha−1), oil yield (301–2742 kg ha−1), oil content (37–60%), 100-seed weight (21–127 g), and protein content (19–31%). The GGE biplot technique revealed that ICGV 05155 is a stable genotype for oil yield with an average oil yield of 1886 kg ha−1. ICGV 05155 recorded highest average pod yield of 4928 kg ha−1, kernel yield of 3420 kg ha−1, and oil content of 55.1%. ICGV 06049, ICGV 06041, ICGV 06420, and ICGV 03043 were other genotypes with stable oil yield. Simple regression showed significant contributions of oil content (18–54%), and kernel yield (92–99%) to oil yield across the environments. Simultaneous improvement of kernel yield and oil content is feasible in breeding programs, as kernel yield had no negative association with oil content. The high oil content genotypes, ICGV 05155, ICGV 06049, ICGV 06041, ICGV 06420, and ICGV 03043, with stable oil yield were promoted to multilocation adaptive trials required for their release for cultivation and used as parents in breeding programs and development of mapping population to identify quantitative trait loci (QTL) governing oil content.
Item Type: | Article |
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Divisions: | Research Program : Asia |
CRP: | CGIAR Research Program on Grain Legumes |
Uncontrolled Keywords: | Peanut, Genotypes, High Yielding, Genotypes, Oil Content, Groundnut |
Subjects: | Mandate crops > Groundnut Others > Oilseeds Others > Genetics and Genomics |
Depositing User: | Mr Ramesh K |
Date Deposited: | 11 Nov 2016 05:23 |
Last Modified: | 11 Nov 2016 05:28 |
URI: | http://oar.icrisat.org/id/eprint/9776 |
Official URL: | http://dx.doi.org/10.2135/cropsci2016.01.0005 |
Projects: | UNSPECIFIED |
Funders: | UNSPECIFIED |
Acknowledgement: | Authors acknowledge data analysis support from Dr. Abhishek Rathore and Mr. Anil Kumar, Bioinformatics Unit, ICRSIAT. |
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