Genotypic variation for normalized difference vegetation index and its relationship with grain yield in wheat under terminal heat stress

Ramya, K. T.; Jain, Namrata; Ramya, P.; Singh, PK; Arora, Anju; Singh, Gyanendra Pratap; Prabhu, K. V.

doi:10.5958/0975-6906.2015.00027.9

Cited by 9 publications

(7 citation statements)

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“…According to the results from this paper, there was significant genotypic variation in NDVI values at anthesis. These results confirmed the findings of the previous studies (Hazratkulova et al, 2012;Ramya et al, 2015), where NDVI showed high levels of genotypic variability. Also, different environmental conditions, such as nitrogen supply or rainfall distribution, had significant influence at NDVI values (Cabrera-Bosquet et al, 2011).…”

Section: Relationship Among Studied Traitssupporting

confidence: 92%

Variation in NDVI values and relationship with grain yield in two-rowed winter barley

Mirosavljević¹,

Momčilović²,

Čanak³

et al. 2018

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The simple methods used for indirect biomass determination are recognized as potentially important tools for crop growth prediction. The normalized difference vegetation index (NDVI) is widely used for assessing crop biomass, yield, photosynthesis, and nitrogen management. Aims of this study were to determine the variation in NDVI values and relationship of the NDVI with the most significant agronomic properties in the elite genotypes of two-rowed winter barley. The experiment included elite two-rowed winter barley genotypes and was carried out in two growing seasons. NDVI were measured at mid-anthesis, while grain yield and grain yield components were determined from combine harvested samples at maturity. Results from this study showed that the influence of genotype was mainly responsible for variation in most studied traits. Grain yield of two-rowed barley cultivars was more related to high grain number per unit area than to grain weight. NDVI values at anthesis in both growing seasons were positively associated with grain yield (R 2 = 0.444 and R 2 = 0.386), grain number (R 2 = 0.387 and R 2 = 0.507) and plant height (R 2 = 0.352 and R 2 = 0.364), while relationship with grain weight was not significant. Significant genotypic variation for NDVI values and the presence of significant positive relationship with grain yield and grain number indicated that NDVI measurement at anthesis could be efficiently used for indirect identification of productive two-rowed winter barley genotypes.

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Section: Relationship Among Studied Traitssupporting

confidence: 92%

Variation in NDVI values and relationship with grain yield in two-rowed winter barley

Mirosavljević¹,

Momčilović²,

Čanak³

et al. 2018

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“…During the present study, NDVI at various growth stages was positively correlated with yield and was more strongly associated under stress environments. Association of NDVI with yield under stress have been known in earlier studies (Pinto et al 2010;Olivares-Villegas et al 2007;Ramya et al 2015). Canopy temperature measured at grain filling stage was also observed to be a significant trait under dry environments.…”

Section: Discussionmentioning

confidence: 54%

Assessment of marker-trait associations for drought and heat tolerance in bread wheat

Sinha

Priyanka

Ramya

et al. 2018

Cereal Research Communications

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Abiotic stresses are major constraints to wheat productivity in many parts of the world. Tolerance to abiotic stresses can be achieved indirectly by selection for morpho-physiological traits. Physiological trait based breeding has been associated with improved performance under stress; and hence can combat and adapt wheat to drought and heat stress. Therefore, in the present study, phenotyping was carried out for agro-physiological traits in 52 diverse wheat germplasm lines under timely sown, rainfed and late sown environments for two years. Mean yield of the genotypes over the six environments were positively correlated with NDVI, days to maturity and negatively correlated with canopy temperature. The phenotypic data validated marker-trait associations of a number of meta-QTLs identified earlier for different physiological and agronomic traits. Six and seven meta-QTL genomic regions were found to be consistent in their expression for two years under rainfed/restricted irrigation and late sown environments, respectively. Expression analysis of the underlying candidate gene AK248593.1 in meta-QTL26 region revealed two folds higher expression in the NILs carrying the co-localized SSR markers. The linked markers of the thirteen meta-QTL regions associated with different traits can be used for effective transfer of the QTLs through marker assisted selection in wheat breeding programmes.

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“…Although high yielding genotypes generally exhibit a slower decline in NDVI, noted during heat stress conditions. Therefore, under heat stress condition for late sowing region, these genotypes would have been selected for cultivation (Ramya et al, 2015). A number of fertile tillers, during anthesis and grain filling period, terminal heat stress is a major threat, which speed up maturity and significantly reduce grain size.…”

Section: Discussionmentioning

confidence: 99%

“…Plants grown under optimum conditions have comparatively higher biomass than that grown with heat stress conditions (Yin et al, 2009). Spike length, Tall genotypes and late maturation have enough time and capacity to accumulate photosynthetically assimilates that results in high grain yield that explains the moderate to the high correlation of days to heading, days to maturity, plant height, stem length and grain yield (Ramya et al, 2015). Plant height delayed planting remarkably reduced days of heading, days of maturity and plant height, due to plant life-shortening as a result of heat stress.…”

Section: Discussionmentioning

confidence: 99%

Bread wheat genotypes phenotypic characterization under late sowing heat stress and genetic diversity analysis of selected heat tolerant genotypes

Waheed¹,

Shahbaz

Siddique

et al. 2021

Egyptian Journal of Agricultural Research

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Wheat is one of the earliest cultivated plants and second major cereal crop of the world that contains human food essentials. Due to climatic variations, crop is exposed to severe environmental conditions. Rising global temperature is expected to result in severe climate shifts in future. High temperature exerts negative effects on wheat phenology and grain production. The selection of heat-tolerant wheat germplasm is the best stress management strategy. This research study presents the fieldbased evaluation of 100 wheat genotypes under both normal and heat stress conditions. The data of twelve phenotypic traits were recorded under control and heat stress trials. There were diverse variations observed among genotypes for morphological characters. The high yielding selected wheat lines 68. 111-56, CHEN-84, CHEN-74, IWA8611400-65, CHEN-95, CHEN-96, CHEN-86, CHEN-80, 68.111-60 and CHEN-92 were subjected to DNA genotyped with Simple Sequence Repeat marker(SSR) viz; WMC 18, CFA2129, WMC 367, CFD 48, WMC44 and WMC 798. The genetic diversity ranged from 0 to 0.25 with an average value of 0.06. Unweighted pair group of arithmetic means cluster analysis grouped these lines into clusters. Most of the genetic diversity was observed for CHEN-74 and CHEN-96 in cluster. The study has identified genetically diverse, heat tolerant and high yielding wheat genotypes with possible exploitation in development of climate-smart wheat varieties.

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Genotypic variation for normalized difference vegetation index and its relationship with grain yield in wheat under terminal heat stress

Cited by 9 publications

References 0 publications

Variation in NDVI values and relationship with grain yield in two-rowed winter barley

Variation in NDVI values and relationship with grain yield in two-rowed winter barley

Assessment of marker-trait associations for drought and heat tolerance in bread wheat

Bread wheat genotypes phenotypic characterization under late sowing heat stress and genetic diversity analysis of selected heat tolerant genotypes

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