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Wheat Yield Improvements in Brazil: Roles of Genetics and Environment
- Source :
- Crop Science. 58:1082-1093
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- Several studies have shown a significant increase in wheat (Triticum aestivum L.) grain yield (GY) worldwide during the 20th century as a result of genetic and environmental improvement. The objective of this study was to measure the genetic gains achieved in a wheat breeding program maintained by the Central Cooperative of Agricultural Research (COODETEC) in Brazil through the annual evaluation of lines in multienvironment trials. The dataset was composed of 836 advanced trials and was evaluated in 40 representative locations to assess the value for cultivation and use (VCU) regions in the south, southeast, and central-west areas of the country from 2004 to 2013. Each trial consisted of 25 treatments (lines + checks) in a randomized complete block design with three replicates. A linear mixed model was fitted to predict the genetic values of each genotype per year and a restricted maximum likelihood algorithm to estimate the variance components. These genetic values were used to compute the genetic gain over the years. The overall estimated genetic gain of the breeding program was 61.59 kg ha⁻¹ yr⁻¹ (1.68% yr⁻¹) for GY, although it was partially counterbalanced by the estimated negative environmental effects. The genetic gain per VCU region ranged from 31.38 (VCU 4) to 115.33 kg ha⁻¹ yr⁻¹ (VCU 1). After accounting for the environmental changes over years, the yield gain was 39.40 kg ha⁻¹ yr⁻¹ (1.10% yr⁻¹), ranging from −0.82 (VCU 3) to 3.35% yr⁻¹ (VCU 1). The assessment of Brazilian cultivars released between 1998 and 2014 showed genetic gains in GY of 34.8 kg ha⁻¹ yr⁻¹ (1% yr⁻¹), demonstrating that the efforts of Brazilian research institutions to develop cultivars have produced additive results. The implications of genetic gain estimates on breeding programs are discussed.
- Subjects :
- 0106 biological sciences
Breeding program
Restricted maximum likelihood
business.industry
Randomized block design
04 agricultural and veterinary sciences
Biology
01 natural sciences
Agronomy
Genetic gain
Agriculture
Yield (wine)
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Grain yield
Cultivar
business
Agronomy and Crop Science
010606 plant biology & botany
Subjects
Details
- ISSN :
- 0011183X
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- Crop Science
- Accession number :
- edsair.doi...........e30cc34049ab5e726edfb1da4fafa940
- Full Text :
- https://doi.org/10.2135/cropsci2017.06.0358