Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach
Heat stress is a major limiting factor for crop productivity. Tomato is highly sensitive to heat stress, which can result in a total yield loss. To adapt to current and future heat stress, there is a dire need to develop heat tolerant cultivars. Here, we review recent attempts to improve screening f...
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MDPI AG
2019-11-01
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Series: | Agronomy |
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Online Access: | https://www.mdpi.com/2073-4395/9/11/720 |
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author | Mathieu Anatole Tele Anatole Tele Ayenan Agyemang Danquah Peter Hanson Charles Ampomah-Dwamena Fréjus Ariel Kpêdétin Ariel Kpedetin Sodedji Isaac K. K. Asante Eric Yirenkyi Yirenkyi Danquah |
author_facet | Mathieu Anatole Tele Anatole Tele Ayenan Agyemang Danquah Peter Hanson Charles Ampomah-Dwamena Fréjus Ariel Kpêdétin Ariel Kpedetin Sodedji Isaac K. K. Asante Eric Yirenkyi Yirenkyi Danquah |
author_sort | Mathieu Anatole Tele Anatole Tele Ayenan |
collection | DOAJ |
description | Heat stress is a major limiting factor for crop productivity. Tomato is highly sensitive to heat stress, which can result in a total yield loss. To adapt to current and future heat stress, there is a dire need to develop heat tolerant cultivars. Here, we review recent attempts to improve screening for heat tolerance and to exploit genetic and genomic resources in tomatoes. We provide key factors related to phenotyping environments and traits (morphological, physiological, and metabolic) to be considered to identify and breed thermo-tolerant genotypes. There is significant variability in tomato germplasm that can be harnessed to breed for thermo-tolerance. Based on our review, we propose that the use of advanced backcross populations and chromosome segments substitution lines is the best means to exploit variability for heat tolerance in non-cultivated tomato species. We applied a meta quantitative trait loci (MQTL) analysis on data from four mapping experiments to co-localize QTL associated with heat tolerance traits (e.g., pollen viability, number of pollen, number of flowers, style protrusion, style length). The analysis revealed 13 MQTL of which 11 were composed of a cluster of QTL. Overall, there was a reduction of about 1.5-fold in the confidence interval (CI) of the MQTL (31.82 cM) compared to the average CI of individual QTL (47.4 cM). This confidence interval is still large and additional mapping resolution approaches such as association mapping and multi-parent linkage mapping are needed. Further investigations are required to decipher the genetic architecture of heat tolerance surrogate traits in tomatoes. Genomic selection and new breeding techniques including genome editing and speed breeding hold promise to fast-track development of improved heat tolerance and other farmer- and consumer-preferred traits in tomatoes. |
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issn | 2073-4395 |
language | English |
last_indexed | 2024-12-14T18:57:52Z |
publishDate | 2019-11-01 |
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spelling | doaj.art-df5757edcb4c40388add85c9d5817ea42022-12-21T22:51:02ZengMDPI AGAgronomy2073-43952019-11-0191172010.3390/agronomy9110720agronomy9110720Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated ApproachMathieu Anatole Tele Anatole Tele Ayenan0Agyemang Danquah1Peter Hanson2Charles Ampomah-Dwamena3Fréjus Ariel Kpêdétin Ariel Kpedetin Sodedji4Isaac K. K. Asante5Eric Yirenkyi Yirenkyi Danquah6West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Science, University of Ghana, PMB LG 30 Legon, Accra, GhanaWest Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Science, University of Ghana, PMB LG 30 Legon, Accra, GhanaWorld Vegetable Center, West and Central Africa—Coastal and Humid Regions, IITA-Benin Campus, 08 BP 0932 Tri Postal, Cotonou, BeninThe New Zealand Institute for Plant & Food Research Limited (PFR), Private Bag 92169, Auckland Mail Centre, Auckland 1142, New ZealandLaboratory of Applied Ecology, Faculty of Agronomic Sciences, University of Abomey-Calavi, 01 BP 526 Cotonou, BeninDepartment of Plant Biology and Environmental Science, University of Ghana, P.O. Box LG 55, Legon, GhanaWest Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Science, University of Ghana, PMB LG 30 Legon, Accra, GhanaHeat stress is a major limiting factor for crop productivity. Tomato is highly sensitive to heat stress, which can result in a total yield loss. To adapt to current and future heat stress, there is a dire need to develop heat tolerant cultivars. Here, we review recent attempts to improve screening for heat tolerance and to exploit genetic and genomic resources in tomatoes. We provide key factors related to phenotyping environments and traits (morphological, physiological, and metabolic) to be considered to identify and breed thermo-tolerant genotypes. There is significant variability in tomato germplasm that can be harnessed to breed for thermo-tolerance. Based on our review, we propose that the use of advanced backcross populations and chromosome segments substitution lines is the best means to exploit variability for heat tolerance in non-cultivated tomato species. We applied a meta quantitative trait loci (MQTL) analysis on data from four mapping experiments to co-localize QTL associated with heat tolerance traits (e.g., pollen viability, number of pollen, number of flowers, style protrusion, style length). The analysis revealed 13 MQTL of which 11 were composed of a cluster of QTL. Overall, there was a reduction of about 1.5-fold in the confidence interval (CI) of the MQTL (31.82 cM) compared to the average CI of individual QTL (47.4 cM). This confidence interval is still large and additional mapping resolution approaches such as association mapping and multi-parent linkage mapping are needed. Further investigations are required to decipher the genetic architecture of heat tolerance surrogate traits in tomatoes. Genomic selection and new breeding techniques including genome editing and speed breeding hold promise to fast-track development of improved heat tolerance and other farmer- and consumer-preferred traits in tomatoes.https://www.mdpi.com/2073-4395/9/11/720meta qtlphenotypingsurrogate traitsthermo-tolerancesolanaceae |
spellingShingle | Mathieu Anatole Tele Anatole Tele Ayenan Agyemang Danquah Peter Hanson Charles Ampomah-Dwamena Fréjus Ariel Kpêdétin Ariel Kpedetin Sodedji Isaac K. K. Asante Eric Yirenkyi Yirenkyi Danquah Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach Agronomy meta qtl phenotyping surrogate traits thermo-tolerance solanaceae |
title | Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach |
title_full | Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach |
title_fullStr | Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach |
title_full_unstemmed | Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach |
title_short | Accelerating Breeding for Heat Tolerance in Tomato (<i>Solanum lycopersicum</i> L.): An Integrated Approach |
title_sort | accelerating breeding for heat tolerance in tomato i solanum lycopersicum i l an integrated approach |
topic | meta qtl phenotyping surrogate traits thermo-tolerance solanaceae |
url | https://www.mdpi.com/2073-4395/9/11/720 |
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