Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX
Supplementary Material 10: True Statistic Skill values obtained for the nine tested algorithms (75% training data, 100 runs per algorithm) for lentil rust resistance.
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Language: | English |
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Figshare
2022-03-03
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Subjects: | Crop wild relatives, Predictive characterization, Ecogeographic land characterization maps, Drought tolerance, Salinity tolerance, Waterlogging tolerance, Rust resistance, Broomrape resistance, |
Online Access: | http://hdl.handle.net/10261/330867 |
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dig-ias-es-10261-3308672023-07-12T07:01:55Z Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance Supplementary Material 10: True Statistic Skill values obtained for the nine tested algorithms (75% training data, 100 runs per algorithm) for lentil rust resistance. Crop wild relatives are species related to cultivated plants, whose populations have evolved in natural conditions and confer them valuable adaptive genetic diversity, that can be used in introgression breeding programs. Targeting four wild lentil taxa in Europe, we applied the predictive characterization approach through the filtering method to identify populations potentially tolerant to drought, salinity, and waterlogging. In parallel, the calibration method was applied to select wild populations potentially resistant to lentil rust and broomrape, using, respectively, 351 and 204 accessions evaluated for these diseases. An ecogeographic land characterization map was used to incorporate potential genetic diversity of adaptive value. We identified 13, 1, 21, and 30 populations potentially tolerant to drought, soil salinity, waterlogging, or resistance to rust, respectively. The models targeting broomrape resistance did not adjust well and thus, we were not able to select any population regarding this trait. The systematic use of predictive characterization techniques may boost the efficiency of introgression breeding programs by increasing the chances of collecting the most appropriate populations for the desired traits. However, these populations must still be experimentally tested to confirm the predictions. Peer reviewed 2023-07-12T07:01:54Z 2023-07-12T07:01:54Z 2022-03-03 dataset Rubio Teso, María Luisa; Lara-Romero, Carlos; Rubiales, Diego; Parra-Quijano, Mauricio; Iriondo, José M.; 2022; Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX [Dataset]; Figshare; https://doi.org/10.3389/fpls.2022.817849.s002 http://hdl.handle.net/10261/330867 10.3389/fpls.2022.817849.s002 en Rubio Teso, María Luisa; Lara-Romero, Carlos; Rubiales, Diego; Parra-Quijano, Mauricio; Iriondo, José M. Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization. https://doi.org/10.3389/fpls.2022.817849 . http://hdl.handle.net/10261/286828 https://doi.org/10.3389/fpls.2022.817849.s002 Sí open application/vnd.ms-excel Figshare |
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Europa del Sur |
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Biblioteca del IAS España |
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English |
topic |
Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance |
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Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
description |
Supplementary Material 10: True Statistic Skill values obtained for the nine tested algorithms (75% training data, 100 runs per algorithm) for lentil rust resistance. |
format |
dataset |
topic_facet |
Crop wild relatives Predictive characterization Ecogeographic land characterization maps Drought tolerance Salinity tolerance Waterlogging tolerance Rust resistance Broomrape resistance |
author |
Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. |
author_facet |
Rubio Teso, María Luisa Lara-Romero, Carlos Rubiales, Diego Parra-Quijano, Mauricio Iriondo, José M. |
author_sort |
Rubio Teso, María Luisa |
title |
Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
title_short |
Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
title_full |
Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
title_fullStr |
Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
title_full_unstemmed |
Table_10_Searching for Abiotic Tolerant and Biotic Stress Resistant Wild Lentils for Introgression Breeding Through Predictive Characterization.XLSX |
title_sort |
table_10_searching for abiotic tolerant and biotic stress resistant wild lentils for introgression breeding through predictive characterization.xlsx |
publisher |
Figshare |
publishDate |
2022-03-03 |
url |
http://hdl.handle.net/10261/330867 |
work_keys_str_mv |
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