Drought tolerance improvement in crop plants: An integrated view from breeding to genomics

Cattivelli, Luigi; Rizza, Fulvia; Badeck, Franz-W.; Mazzucotelli, Elisabetta; Mastrangelo, Anna Maria; Francia, Enrico; Marè, Caterina; Tondelli, Alessandro; Stanca, A. M.

doi:10.1016/j.fcr.2007.07.004

Cited by 1,180 publications

(761 citation statements)

References 136 publications

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“…The reduction in plant biomass, height, ASI and cob mass observed in this study is consistent with previous findings (Barnabás, Jäger, & Fehér, 2008; Witt et al., 2012). ASI and cob weight are strong indicators of plant yield and are used as a trait to select for drought‐resistant maize cultivars (Cattivelli et al., 2008). Unexpectedly and in contrast to other studies (Vaughan et al., 2015), we found that low moisture decreased root/shoot ratios.…”

Section: Discussionmentioning

confidence: 99%

Influence of drought on plant performance through changes in belowground tritrophic interactions

Guyer

Hibbard

Holzkämper

et al. 2018

Ecology and Evolution

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Climate change is predicted to increase the risk of drought in many temperate agroecosystems. While the impact of drought on aboveground plant‐herbivore‐natural enemy interactions has been studied, little is known about its effects on belowground tritrophic interactions and root defense chemistry. We investigated the effects of low soil moisture on the interaction between maize, the western corn rootworm (WCR, Diabrotica virgifera), and soil‐borne natural enemies of WCR. In a manipulative field experiment, reduced soil moisture and WCR attack reduced plant performance and increased benzoxazinoid levels. The negative effects of WCR on cob dry weight and silk emergence were strongest at low moisture levels. Inoculation with entomopathogenic nematodes (EPNs, Heterorhabditis bacteriophora) was ineffective in controlling WCR, and the EPNs died rapidly in the warm and dry soil. However, ants of the species Solenopsis molesta invaded the experiment, were more abundant in WCR‐infested pots and predated WCR independently of soil moisture. Ant presence increased root and shoot biomass and was associated with attenuated moisture‐dependent effects of WCR on maize cob weight. Our study suggests that apart from directly reducing plant performance, drought can also increase the negative effects of root herbivores such as WCR. It furthermore identifies S. molesta as a natural enemy of WCR that can protect maize plants from the negative impact of herbivory under drought stress. Robust herbivore natural enemies may play an important role in buffering the impact of climate change on plant‐herbivore interactions.

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Section: Discussionmentioning

confidence: 99%

Influence of drought on plant performance through changes in belowground tritrophic interactions

Guyer

Hibbard

Holzkämper

et al. 2018

Ecology and Evolution

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“…There is a need for a high precision because the differences may be small and subtle, and detailed physiological measurements are difficult when a large number of genotypes are involved (Araus & Cairns, 2014). To achieve an accurate phenotyping, it is important to control stress levels and timing (Cattivelli et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration and grain yield of upland rice as affected by water deficit

Guimarães

Stone

Silva

2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TTo achieve an accurate phenotyping for drought tolerance, it is important to control water stress levels and timing. This study aimed to determine water use by upland rice plants during periods of irrigation withholding and its relationship with grain yield in order to increase the efficiency of this phenotyping. Two experiments were carried out in a randomized block design in which six water treatments (irrigation withholding for periods of 2, 4, 6, 8, 10 and 12 days) were compared, with four replicates. In the first experiment, treatments were applied at the R3 stage (panicle exsertion) and, in the second, at the R5 stage (beginning of grain filling). The amount of water evapotranspired was determined by the difference between the soil water storage at the beginning and at the end of irrigation withholding periods, from the surface to 80-cm depth. Evapotranspiration of upland rice from R3 stage was higher compared to that observed from R5 stage, when subjected to similar irrigation withholding periods in both growth stages. Rice grain yield is more sensitive to irrigation withholding imposed from R5 stage than from R3 stage.Evapotranspiração e produtividade do arroz de terras altas afetadas pela deficiência hídrica R E S U M O Para se obter fenotipagem acurada para tolerância à deficiência hídrica, é importante controlar o nível de estresse hídrico e a época de sua aplicação. Este trabalho objetivou determinar o uso de água pelas plantas de arroz de terras altas durante períodos de supressão da irrigação e sua relação com a produtividade de grãos, para aumentar a eficácia desta fenotipagem. Foram conduzidos dois experimentos no delineamento de blocos ao acaso e comparados seis tratamentos hídricos (supressão da irrigação por períodos de 2, 4, 6, 8, 10 e 12 dias) com quatro repetições. No primeiro experimento os tratamentos foram aplicados no estádio R3 (emissão das panículas) e no segundo, no estádio R5 (início do enchimento de grãos). A água evapotranspirada foi determinada pela diferença entre o armazenamento de água no solo no início e no fim dos períodos de supressão da irrigação, da superfície até 80 cm de profundidade. A evapotranspiração do arroz no estádio R3 foi mais alta comparada com a observada no estádio R5, quando submetida a período similar de supressão da irrigação em ambos os estádios. A produtividade do arroz foi mais sensível à supressão da irrigação imposta a partir do estádio R5 do que do estádio R3.

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“…Yield production is particularly sensitive to the meteorological conditions that occur from anthesis to grain filling. Therefore, evaluation of genotypes yields in different environments and growing seasons is required [1,4]. Breeding based on GY has been restricted to Mediterranean dryland environments because the most limiting factor of yield is drought stress [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes

Hernandez

Lobos

Matus³

et al. 2015

Remote Sensing

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Plant breeding based on grain yield (GY) is an expensive and time-consuming method, so new indirect estimation techniques to evaluate the performance of crops represent an alternative method to improve grain yield. The present study evaluated the ability of canopy reflectance spectroscopy at the range from 350 to 2500 nm to predict GY in a large panel (368 genotypes) of wheat (Triticum aestivum L.) through multivariate ridge regression models. Plants were treated under three water regimes in the Mediterranean conditions of central Chile: severe water stress (SWS, rain fed), mild water stress (MWS; one irrigation event around booting) and full irrigation (FI) with mean GYs of 1655, 4739, and 7967 kg·ha −1 , respectively. Models developed from reflectance data during anthesis and grain filling under all water regimes explained between 77% and 91% of the GY OPEN ACCESSRemote Sens. 2015, 7 2110 variability, with the highest values in SWS condition. When individual models were used to predict yield in the rest of the trials assessed, models fitted during anthesis under MWS performed best. Combined models using data from different water regimes and each phenological stage were used to predict grain yield, and the coefficients of determination (R 2 ) increased to 89.9% and 92.0% for anthesis and grain filling, respectively. The model generated during anthesis in MWS was the best at predicting yields when it was applied to other conditions. Comparisons against conventional reflectance indices were made, showing lower predictive abilities. It was concluded that a Ridge Regression Model using a data set based on spectral reflectance at anthesis or grain filling represents an effective method to predict grain yield in genotypes under different water regimes.

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Drought tolerance improvement in crop plants: An integrated view from breeding to genomics

Cited by 1,180 publications

References 136 publications

Influence of drought on plant performance through changes in belowground tritrophic interactions

Influence of drought on plant performance through changes in belowground tritrophic interactions

Evapotranspiration and grain yield of upland rice as affected by water deficit

Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes

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