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Tadesse, B., Das, B., Kosgei, T., Tarekegne, A. T., Labuschagne, M., Regasa, M. W., Olsen, M., Chaikam, V., & Gowda, M. (2022). Relationship between grain yield and quality traits under optimum and low-nitrogen stress environments in tropical maize. Agronomy, 12(2), 438. https://doi.org/10.3390/agronomy12020438
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Breeding for nitrogen use efficiency (NUE) is important to deal with food insecurity and its effect on grain quality, particularly protein. A total of 1679 hybrids were evaluated in 16 different trials for grain yield (GY), grain quality traits (protein, starch and oil content) and kernel weight (KW) under optimum and managed low soil nitrogen fields in Kiboko, Kenya, from 2011 to 2014. The objectives of our study were to understand (i) the effect of low soil N stress on GY and quality traits, (ii) the relationship between GY and quality traits under each soil management condition and (iii) the relationship of traits with low-N versus optimum conditions. From the results, we observed the negative effects of low N on GY, KW and the percentage of protein content, and a positive effect on the percentage of starch content. The correlation between GY and all quality traits was very weak under both soil N conditions. GY had a strong relationship with KW under both optimum and low soil N conditions. Protein and starch content was significantly negative under both optimum and low-N conditions. There was no clear relationship among quality traits under optimum and low N, except for oil content. Therefore, it seems feasible to simultaneously improve GY along with quality traits under both optimum and low-N conditions, except for oil content. However, the negative trend observed between GY (starch) and protein content suggests the need for the regular monitoring of protein and starch content to identify varieties that combine both high GY and acceptable quality. Finally, we recommend further research with a few tropical maize genotypes contrasting for NUE to understand the relationship between the change in grain quality and NUE under low-N conditions.
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Journal
Agronomy
Journal volume
12
Journal issue
2
Article number
438
Place of Publication
Basel (Switzerland) MDPI,
Publisher
MDPI
Related Datasets
CGIAR Initiatives
Initiative
Accelerated Breeding
Plant Health
Plant Health
Impact Area
Nutrition, health & food security
Action Area
Genetic Innovation
Resilient Agrifood Systems
Resilient Agrifood Systems
Donor or Funder
Bill & Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)
CGIAR Research Program on Maize
United States Agency for International Development (USAID)
CGIAR Research Program on Maize