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Ferrante A, Cullis BR, Smith AB, Able JA. A Multi-Environment Trial Analysis of Frost Susceptibility in Wheat and Barley Under Australian Frost-Prone Field Conditions. Front Plant Sci 2021; 12:722637. [PMID: 34490019 PMCID: PMC8417324 DOI: 10.3389/fpls.2021.722637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 07/16/2021] [Indexed: 05/22/2023]
Abstract
Low temperatures during the flowering period of cereals can lead to floret sterility, yield reduction, and economic losses in Australian crops. In order to breed for improved frost susceptibility, selection methods are urgently required to identify novel sources of frost tolerant germplasm. However, the presence of genotype by environment interactions (i.e. variety responses to a change in environment) is a major constraint to select the most appropriate varieties in any given target environment. An advanced method of analysis for multi-environment trials that includes factor analytic selection tools to summarize overall performance and stability to a specific trait across the environments could deliver useful information to guide growers and plant breeding programs in providing the most appropriate decision making-strategy. In this study, the updated selection tools approached in this multi-environment trials (MET) analysis have allowed variety comparisons with similar frost susceptibility but which have a different response to changes in the environment or vice versa. This MET analysis included a wide range of sowing dates grown at multiple locations from 2010 to 2019, respectively. These results, as far as we are aware, show for the first-time genotypic differences to frost damage through a MET analysis by phenotyping a vast number of accurate empirical measurements that reached in excess of 557,000 spikes. This has resulted in a substantial number of experimental units (10,317 and 5,563 in wheat and barley, respectively) across a wide range of sowing times grown at multiple locations from 2010 to 2019. Varieties with low frost overall performance (OP) and low frost stability (root mean square deviation -RMSD) were less frost susceptible, with performance more consistent across all environments, while varieties with low OP and high RMSD were adapted to specific environmental conditions.
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Affiliation(s)
- Ariel Ferrante
- School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide, Urrbrae, SA, Australia
- *Correspondence: Ariel Ferrante,
| | - Brian R. Cullis
- Centre for Biometrics and Data Science for Sustainable Primary Industries, National Institute for Applied Statistics Research Australia (NIARSA), School of Mathematics and Applied Statistics, Faculty of Engineering & Information Sciences, University of Wollongong, NSW, Australia
| | - Alison B. Smith
- Centre for Biometrics and Data Science for Sustainable Primary Industries, National Institute for Applied Statistics Research Australia (NIARSA), School of Mathematics and Applied Statistics, Faculty of Engineering & Information Sciences, University of Wollongong, NSW, Australia
| | - Jason A. Able
- School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide, Urrbrae, SA, Australia
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Jiwuba L, Danquah A, Asante I, Blay E, Onyeka J, Danquah E, Egesi C. Genotype by Environment Interaction on Resistance to Cassava Green Mite Associated Traits and Effects on Yield Performance of Cassava Genotypes in Nigeria. Front Plant Sci 2020; 11:572200. [PMID: 33013995 PMCID: PMC7498573 DOI: 10.3389/fpls.2020.572200] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 08/14/2020] [Indexed: 05/30/2023]
Abstract
Cassava is the main source of carbohydrate for over 70% of the people in Nigeria, the world's largest producer and consumer of the crop. The yields of cassava are, however, relatively low in Nigeria largely due to pests and disease infections that significantly lead to inconsistencies in productivity of cassava genotypes in various environments. Fifty-eight F1 hybrid cassava genotypes plus their two parents which served as check varieties were evaluated in three locations for two years (that is six environments). The objectives of the study were to evaluate genotype by environment interactions (GEI) on resistance to cassava green mite [CGM, Mononychellus tanajoa (Bondar)] associated traits and effects on yield performance of cassava genotypes in Nigeria and to identify superior genotypes that exhibit high stability which combine CGM resistance and high fresh root yield with general and specific environmental adaptation using additive main effects and multiplicative interaction (AMMI) and genotype stability index (GSI). The combined analysis of variance based on AMMI revealed significant genotype, environment, and genotype by environment interactions (GEI) for all traits. The percentage variation due to environment was higher than the percentage variation due to genotype for cassava green mite severity (CGMS), leaf retention (LR), root dry matter content (RDMC), and fresh root yield (FRY) indicating that environment greatly influenced the expression of these traits. The percentage variation due to GEI accounted for higher percentage variation than that of genotype and environment separately for all traits, indicating the influence of genotype by environment interaction on expression of the traits. These findings reveal that screening/evaluating for these traits needs multi-environment trials. According to GSI ranking, genotypes G31 (IBA131794), G19 (IBA131762), the check variety G52 (TMEB778), and G11 (IBA131748) were identified as the most stable and most resistant to CGM which also combine high FRY and other useful agronomic traits, implying that these traits in cassava can even be incorporated as preferred by farmers. These genotypes can be tested in more environments to determine their adaptability and potential recommendation for release to farmers for growing.
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Affiliation(s)
- Lydia Jiwuba
- Biotechnology Programme, National Root Crops Research Institute, NRCRI, Umudike, Nigeria
- West Africa Centre for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
| | - Agyemang Danquah
- West Africa Centre for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
- Department of Crop Science, University of Ghana, Accra, Ghana
| | - Isaac Asante
- West Africa Centre for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
- Department of Plant and Environmental Biology, University of Ghana, Accra, Ghana
| | - Essie Blay
- West Africa Centre for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
- Department of Crop Science, University of Ghana, Accra, Ghana
| | - Joseph Onyeka
- Biotechnology Programme, National Root Crops Research Institute, NRCRI, Umudike, Nigeria
| | - Eric Danquah
- West Africa Centre for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
- Department of Crop Science, University of Ghana, Accra, Ghana
| | - Chiedozie Egesi
- Biotechnology Programme, National Root Crops Research Institute, NRCRI, Umudike, Nigeria
- Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY, United States
- Cassava Breeding Unit, International Institute for Tropical Agriculture (IITA), Ibadan, Nigeria
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