A linear profit function for economic weights of linear phenotypic selection indices in plant breeding
The profit function (net returns minus costs) allows breeders to derive trait economic weights to predict the net genetic merit (H) using the linear phenotypic selection index (LPSI). Economic weight is the increase in profit achieved by improving a particular trait by one unit and should reflect th...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/127677 |
| _version_ | 1855537237948628992 |
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| author | Ceron Rojas, J. Jesus Gowda, Manje Toledo, Fernando H. Beyene, Yoseph Bentley, Alison R. Crespo-Herrera, Leonardo A. Gardner, Keith A. Crossa, José |
| author_browse | Bentley, Alison R. Beyene, Yoseph Ceron Rojas, J. Jesus Crespo-Herrera, Leonardo A. Crossa, José Gardner, Keith A. Gowda, Manje Toledo, Fernando H. |
| author_facet | Ceron Rojas, J. Jesus Gowda, Manje Toledo, Fernando H. Beyene, Yoseph Bentley, Alison R. Crespo-Herrera, Leonardo A. Gardner, Keith A. Crossa, José |
| author_sort | Ceron Rojas, J. Jesus |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The profit function (net returns minus costs) allows breeders to derive trait economic weights to predict the net genetic merit (H) using the linear phenotypic selection index (LPSI). Economic weight is the increase in profit achieved by improving a particular trait by one unit and should reflect the market situation and not only preferences or arbitrary values. In maize (Zea mays L.) and wheat (Triticum aestivum) breeding programs, only grain yield has a specific market price, which makes application of a profit function difficult. Assuming the traits’ phenotypic values have multivariate normal distribution, we used the market price of grain yield and its conditional expectation given all the traits of interest to construct a profit function and derive trait economic weights in maize and wheat breeding. Using simulated and real maize and wheat datasets, we validated the profit function by comparing its results with the results obtained from a set of economic weights from the literature. The criteria to validate the function were the estimated values of the LPSI selection response and the correlation between LPSI and H. For our approach, the maize and wheat selection responses were 1,567.13 and 1,291.5, whereas the correlations were .87 and .85, respectively. For the other economic weights, the selection responses were 0.79 and 2.67, whereas the correlations were .58 and .82, respectively. The simulated dataset results were similar. Thus, the profit function is a good option to assign economic weights in plant breeding. |
| format | Journal Article |
| id | CGSpace127677 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1276772025-12-08T10:11:39Z A linear profit function for economic weights of linear phenotypic selection indices in plant breeding Ceron Rojas, J. Jesus Gowda, Manje Toledo, Fernando H. Beyene, Yoseph Bentley, Alison R. Crespo-Herrera, Leonardo A. Gardner, Keith A. Crossa, José plant breeding maize wheat data phenotyping The profit function (net returns minus costs) allows breeders to derive trait economic weights to predict the net genetic merit (H) using the linear phenotypic selection index (LPSI). Economic weight is the increase in profit achieved by improving a particular trait by one unit and should reflect the market situation and not only preferences or arbitrary values. In maize (Zea mays L.) and wheat (Triticum aestivum) breeding programs, only grain yield has a specific market price, which makes application of a profit function difficult. Assuming the traits’ phenotypic values have multivariate normal distribution, we used the market price of grain yield and its conditional expectation given all the traits of interest to construct a profit function and derive trait economic weights in maize and wheat breeding. Using simulated and real maize and wheat datasets, we validated the profit function by comparing its results with the results obtained from a set of economic weights from the literature. The criteria to validate the function were the estimated values of the LPSI selection response and the correlation between LPSI and H. For our approach, the maize and wheat selection responses were 1,567.13 and 1,291.5, whereas the correlations were .87 and .85, respectively. For the other economic weights, the selection responses were 0.79 and 2.67, whereas the correlations were .58 and .82, respectively. The simulated dataset results were similar. Thus, the profit function is a good option to assign economic weights in plant breeding. 2023-03 2023-01-20T10:09:41Z 2023-01-20T10:09:41Z Journal Article https://hdl.handle.net/10568/127677 en Open Access application/pdf Wiley Cerón‐Rojas, J.J., Gowda, M., Toledo, F., Beyene, Y., Bentley, A.R., Crespo‐Herrera, L., Gardner, K. and Crossa, J. 2022. A linear profit function for economic weights of linear phenotypic selection indices in plant breeding. Crop Science, csc2.20882. |
| spellingShingle | plant breeding maize wheat data phenotyping Ceron Rojas, J. Jesus Gowda, Manje Toledo, Fernando H. Beyene, Yoseph Bentley, Alison R. Crespo-Herrera, Leonardo A. Gardner, Keith A. Crossa, José A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title | A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title_full | A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title_fullStr | A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title_full_unstemmed | A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title_short | A linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| title_sort | linear profit function for economic weights of linear phenotypic selection indices in plant breeding |
| topic | plant breeding maize wheat data phenotyping |
| url | https://hdl.handle.net/10568/127677 |
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