A linear profit function for economic weights of linear phenotypic selection indices in plant breeding

dc.creatorCeron Rojas, J.J.
dc.creatorGowda, M.
dc.creatorToledo, F.H.
dc.creatorBeyene, Y.
dc.creatorBentley, A.R.
dc.creatorCrespo Herrera, L.A.
dc.creatorGardner, K.A.
dc.creatorCrossa, J.
dc.date2023-01-14T01:05:13Z
dc.date2023-01-14T01:05:13Z
dc.date2022
dc.date.accessioned2023-07-17T20:10:03Z
dc.date.available2023-07-17T20:10:03Z
dc.identifierhttps://hdl.handle.net/10883/22394
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514141
dc.descriptionThe 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.
dc.languageEnglish
dc.publisherCSSA
dc.publisherWiley
dc.relationClimate adaptation & mitigation
dc.relationNutrition, health & food security
dc.relationPoverty reduction, livelihoods & jobs
dc.relationAccelerated Breeding
dc.relationBreeding Resources
dc.relationGenebanks
dc.relationGenetic Innovation
dc.relationBill & Melinda Gates Foundation
dc.relationCGIAR Trust Fund
dc.relationFoundation for Food & Agriculture Research
dc.relationUnited States Agency for International Development
dc.relationhttps://hdl.handle.net/10568/127677
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.sourceIn press
dc.source1435-0653
dc.sourceCrop Science
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectProfit Function
dc.subjectLinear Phenotypic Selection Index
dc.subjectEconomic Weights
dc.subjectPLANT BREEDING
dc.subjectMAIZE
dc.subjectWHEAT
dc.subjectDATA
dc.subjectPHENOTYPING
dc.subjectMaize
dc.titleA linear profit function for economic weights of linear phenotypic selection indices in plant breeding
dc.typeArticle
dc.typePublished Version
dc.coverageMadison (USA)


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