An analysis of wheat yield and adaptation in India

Trethowan, Richard; Chatrath, Ravish; Tiwari, Ruchi; Kumar, Satish; Saharan, M. S.; Bains, N. S.; Sohu, V. S.; Srivastava, Puja; Sharma, Achla; De, Nitish; Prakash, Suraj; Singh, G. P.; Sharma, Indu; Eagles, H. A.; Diffey, Simon; Bansal, Urmil; Bariana, Harbans

doi:10.1016/j.fcr.2018.01.021

Cited by 11 publications

(10 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly the new cold spot appearance in the northern Gujarat and western Rajasthan for wheat crop area, coincides with the saline water intrusions and the presence of arid desert (Roy et al 2016) respectively. Our result on cold spot for wheat yield increase in southern India is consistent with the observation that high temperatures already limit wheat production in southern India (Trethowan et al, 2018). Similarly studies have shown that India will not be able to meet the growing demand for wheat in upcoming years due to increase in population (Tripathi and Mishra, 2017) and climate change (Asseng et al, 2017).…”

Section: Spatio-temporal Investigations Using Emerging Hot Spotsupporting

confidence: 90%

Spatio-Temporal Changes in Wheat Crop Cultivation in India

Krishnan

Aggarwal

Mridha

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

This study was conducted to understand the changes in spatiotemporal characteristics of wheat crop production including the changes in area and yield. We employed the emerging hot and cold spot analysis along with space time cube and space-time cluster density analysis to study the spatial changes in wheat crop production, area and yield, and understand the changes in spatiotemporal features. We made a comprehensive analysis of the changes in wheat crop production, area and yield on pan India basis for the period from 1999 to 2015. The major findings were: (a) During the study period significant increase in wheat yield occurred within the North Indian states of Punjab and Haryana and intensifying hot spots appeared within the Indo-Gangetic plains. (b) The Analysis of the area under wheat cultivation showed a persistent hot spot in the Northern states of Uttarakhand and Uttar Pradesh, Punjab and Haryana, with new hot spots observed in the regions of Central India during the years 2014 and 2015. (d) The analysis of the wheat crop production showed significant new cold spots in Rajasthan and Gujarat, with intensifying hotspots emanating into the lower delta regions of Ganges. Present study also revealed the potential of GIS based data models when related with additional background information, to segregate the most significant clusters of changes (increase / decrease) happening over active wheat crop cultivation. We expect the results from this study to help in increasing the wheat crop yield and production in the future.

show abstract

Section: Spatio-temporal Investigations Using Emerging Hot Spotsupporting

confidence: 90%

Spatio-Temporal Changes in Wheat Crop Cultivation in India

Krishnan

Aggarwal

Mridha

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…A number of approaches have been reported based on various multilocational studies to facilitate genotypic selection considering the genetic and environmental factors [8,9,20,21]. In this study, the trial data was exploited to extract as much information as possible through a simple and easy to apply approach for ascertain the promising genotypes.…”

Section: Genotypic Selectionmentioning

confidence: 99%

“…Release of high yielding cultivars is one of the important strategies to achieve per unit area yield increments [7]. Before the release of any specific genotype for its commercial cultivation by the farmers, an important task is the multi-environment testing of this genotype for ascertaining its yield potential [8,9]. This multi-environment testing on one side provides an estimate of genotypic interaction with the testing environments [10] while on the other side the estimated G x E interaction based differential ranking of genotypes across environments may rarify the process of selecting and recommending a genotype for target environment [11].…”

Section: Introductionmentioning

confidence: 99%

Wheat genetic gains for two distinct management schemes in China: An analysis of elite spring type genotypes

Ding

Asim

et al. 2020

PLoS ONE

View full text Add to dashboard Cite

The information collected through multi-environment testing of wheat genotypes not only provides basis to identify promising genotypes but also to ascertain their yield potential and the genetic gains. For this purpose, in the presented study, the data originated from the Yunnan provincial Regional Yield Trials (RYT) conducted during 2006 and 2018 was used. During this period, 107 genotypes were evaluated at 18 locations under Upland Wheat (UW) management scheme, while 116 genotypes were evaluated at 21 locations under Field Wheat (FW) management scheme. By adopting standard statistical approaches and through repeated elimination procedures, 7 genotypes emerged as promising for UW and 11 for FW cultivation. These genotypes have genetic variance >1 and 44/33% higher average yield than that of UW/FW genotypes. Most of these promising genotypes were tested during 2016 and 2018 cropping seasons. This indicated a good genetic gain of around 0.7 t/ ha in recent years from that of base year. These genotypes, however, needs to be further evaluated in diverse environments suitable for spring type wheat cultivation to ascertain the extent of their interaction with wider environmental conditions and possibility of using in local breeding programs of those target environments.

show abstract

“…Additionally, loadings from FA models can be linked with environmental covariates to identify important environmental drivers of T crit GEI. This approach has been used to explore trends in species performance across environments in both plant and animal studies such as wheat yield in India (Trethowan et al, 2018), lodging tolerance in spring wheat (Dreccer et al, 2020), sorghum [Sorghum bicolor (L.) Moench] biomass under drought (Oliveira et al, 2020) and body weight at harvest of the farmed fish species -rainbow trout (Onchorynchus mykiss ) (Sae-Lim et al, 2014).…”

Section: Contact Information Introductionmentioning

confidence: 99%

Photosynthetic heat tolerance in wheat: Evidence for genotype-by-environment interactions

Coast

Posch

Rognoni³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

High temperature stress inhibits wheat photosynthetic processes and threatens wheat production. Photosynthetic heat tolerance (commonly measured as T – the critical temperature at which incipient damage to photosystem II occurs) in wheat genotypes could be improved by exploiting genetic variation and genotype-by-environment interaction (GEI) for this trait. Flag leaf T of a total of 54 wheat genotypes were evaluated in 12 thermal environments over three years in Australia using linear mixed models for assessing GEI effects. Nine of the 12 environments had significant genotypic effect and highly variable broad-sense heritability (H ranged from 0.15 to 0.75). T GEI was variable, with 55.6% of the genetic variance across environments accounted for by the factor analytic model. Mean daily growth temperature preceding anthesis was the most influential environmental driver of T GEI, suggesting varied scales of biochemical, physiological, and structural adaptations to temperature requiring different durations to manifest at the thylakoid membrane and leaf levels. These changes help protect or repair photosystem II upon exposure to heat stress. To support current wheat breeding, we identified genotypes superior to commercial cultivars commonly grown by farmers, and showed that there is potential for developing genotypes with greater photosynthetic heat tolerance.

show abstract

An analysis of wheat yield and adaptation in India

Cited by 11 publications

References 6 publications

Spatio-Temporal Changes in Wheat Crop Cultivation in India

Spatio-Temporal Changes in Wheat Crop Cultivation in India

Wheat genetic gains for two distinct management schemes in China: An analysis of elite spring type genotypes

Photosynthetic heat tolerance in wheat: Evidence for genotype-by-environment interactions

Contact Info

Product

Resources

About