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Genetic Variability, Genotype × Environment Interaction, Correlation, and GGE Biplot Analysis for Grain Iron and Zinc Concentration and Other Agronomic Traits in RIL Population of Sorghum (

Genetic Variability, Genotype × Environment Interaction, Correlation, and GGE Biplot Analysis for Grain Iron and Zinc Concentration and Other Agronomic Traits in RIL Population of Sorghum (

Authors :
Rahul M, Phuke
Kotla, Anuradha
Kommineni, Radhika
Farzana, Jabeen
Ghanta, Anuradha
Thatikunta, Ramesh
K, Hariprasanna
Shivaji P, Mehtre
Santosh P, Deshpande
Gaddameedi, Anil
Roma R, Das
Abhishek, Rathore
Tom, Hash
Belum V S, Reddy
Are Ashok, Kumar
Source :
Frontiers in Plant Science
Publication Year :
2016

Abstract

The low grain iron and zinc densities are well documented problems in food crops, affecting crop nutritional quality especially in cereals. Sorghum is a major source of energy and micronutrients for majority of population in Africa and central India. Understanding genetic variation, genotype × environment interaction and association between these traits is critical for development of improved cultivars with high iron and zinc. A total of 336 sorghum RILs (Recombinant Inbred Lines) were evaluated for grain iron and zinc concentration along with other agronomic traits for 2 years at three locations. The results showed that large variability exists in RIL population for both micronutrients (Iron = 10.8 to 76.4 mg kg−1 and Zinc = 10.2 to 58.7 mg kg−1, across environments) and agronomic traits. Genotype × environment interaction for both micronutrients (iron and zinc) was highly significant. GGE biplots comparison for grain iron and zinc showed greater variation across environments. The results also showed that G × E was substantial for grain iron and zinc, hence wider testing needed for taking care of G × E interaction to breed micronutrient rich sorghum lines. Iron and zinc concentration showed high significant positive correlation (across environment = 0.79; p < 0.01) indicating possibility of simultaneous effective selection for both the traits. The RIL population showed good variability and high heritabilities (>0.60, in individual environments) for Fe and Zn and other traits studied indicating its suitability to map QTL for iron and zinc.

Details

ISSN :
1664462X
Volume :
8
Database :
OpenAIRE
Journal :
Frontiers in plant science
Accession number :
edsair.pmid..........e9ee4a9356a267a052d589ed09b19b2b