Canopy spectral reflectance can predict grain nitrogen use efficiency in soft red winter wheat

Pavuluri, Kiran; Chim, Bee Khim; Griffey, Carl A.; Reiter, Mark S.; Balota, Maria; Thomason, Wade E.

doi:10.1007/s11119-014-9385-2

Cited by 32 publications

(39 citation statements)

References 47 publications

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“…However, NHI was not significantly affected by N treatment in three of the four environments. These responses to applied N are consistent with previous investigations in Virginia that utilized similar N rates (Brasier et al, 2018; Pavuluri et al, 2015). Significant genotypic variation was observed for all traits except AGBM and AGNY at one or more growth stages in each environment and NUpE during the 2016–2017 season.…”

Section: Discussionsupporting

confidence: 90%

Greater Biomass Accumulation at Anthesis Increases Nitrogen Use Efficiency in Winter Wheat

et al. 2019

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Soft red winter wheat (Triticum aestivum L.) production relies on efficient nitrogen (N) fertilization to maximize grower profitability and mitigate environmental impacts. Therefore, a panel of 11 elite wheat lines were grown as a randomized complete block design in four environments under low (LN) and high (HN) N rates to: (i) assess the genotypic variation in aboveground biomass (AGBM) and N yield (AGNY) throughout the growing season; and (ii) investigate the associations between yield and N‐related traits with AGBM and AGNY at tillering, booting, anthesis, and physiological maturity. Biomass samples were cut at the soil level and dried at four developmental stages to determine AGBM then ground to estimate AGNY for each sample. Significant genotypic variation (P ≤ 0.05) was observed for grain yield, grain N content, and N‐utilization efficiency in all testing environments. Additionally, significant (P ≤ 0.05) variation for AGBM and AGNY was identified at the five‐tiller stage, booting, anthesis, and physiological maturity in one or more testing environments. Grain yield was not significantly correlated with any trait under LN conditions despite expressing significant association with N‐utilization efficiency, N‐harvest index, AGBM at anthesis, and AGNY at anthesis under HN rates. Significant correlations also were identified for traits between LN and HN rates including AGBM at anthesis (r = 0.93, P < 0.001) and AGNY (r = 0.69, P < 0.01). Our results suggest that breeders can improve grain yields by using AGBM at anthesis as a proxy trait. Core Ideas Genotypic variation was observed in grain yield and N content, N‐utilization, biomass, and N yield. Grain yield correlated with aboveground biomass and aboveground N yield at anthesis under high N rates. Breeders can improve yields by using biomass at anthesis as a proxy trait per its strong correlation with N rates.

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Section: Discussionsupporting

confidence: 90%

Greater Biomass Accumulation at Anthesis Increases Nitrogen Use Efficiency in Winter Wheat

et al. 2019

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“…Four soft red winter wheat accessions, Triticum aestivum L. IL07‐4415 (IL), MD05W10208‐11‐8 (MD), OH06‐150‐57 (OH), and Sisson were analyzed in this study. These accessions were selected based on the genetic diversity survey for NUE within a panel of 281 soft red winter wheat genotypes regionally developed in the eastern U.S. ( Pavuluri et al, ). This study was conducted from October 8, 2014, to May 7, 2015, in a greenhouse located in Blacksburg, Virginia, USA (37°12'N, 80°24'W).…”

Section: Methodsmentioning

confidence: 99%

“…Protein concentration in grains was estimated with an XDS Rapid Content Analyzer (Foss, Eden Prairie, MN, USA). This method has been previously validated in soft red winter wheat using combustion N analysis (FPS 528; Leco Corporation, St. Joseph, MI, USA) ( Pavuluri et al, ). Protein in flag leaves was quantified using the method of Tamang et al ().…”

Section: Methodsmentioning

confidence: 99%

“…Nitrogen use efficiency for yield (NUEY) and protein (NUEP) are defined as grain dry weight or total grain N divided by fertilizer N supplied 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com to the crop, respectively (Moll et al, 1982;Van Sanford and MacKown, 1987). It was previously reported that significant genotypic variations for NUEY and NUEP exist in soft red winter wheat (Van Sanford and MacKown, 1987;Pavuluri et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Differential responses of grain yield, grain protein, and their associated traits to nitrogen supply in soft red winter wheat

Tamang

Brasier

Thomason

et al. 2017

J. Plant Nutr. Soil Sci.

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Increased application of nitrogen fertilizers has significantly raised grain yield and protein concentration in wheat. However, only 30–50% of applied fertilizer nitrogen are usually utilized by the plant. In this study, four soft red winter wheat genotypes (Triticum aestivum L., IL07‐4415, MD05W10208‐11‐8, OH06‐150‐57 and Sisson) were grown under three different nitrogen regimes (high, medium, and low) in a greenhouse, and grain yield, grain protein concentration, nitrogen use efficiency (NUE) and their associated traits were evaluated. Among the four genotypes, a high‐yielding cultivar, Sisson, exhibited superior performance in terms of grain weight plant−1 and NUE for yield (NUEY) at low nitrogen due to maintained grain number spike−1 and harvest index. Significant yield losses due to nitrogen limitation were attributable to reduced spike number plant−1 and grain number spike−1 in the other genotypes. Interestingly, a linear relationship between NUEY and NUE for grain protein (NUEP) was detected at high (R2 = 0.67) and low (R2 = 0.42) nitrogen; both of these traits were positively correlated with grain number spike−1, 1000‐seed weight, and harvest index under nitrogen‐limited conditions (R2 = 0.35–0.48). These results suggest that simultaneous improvement of NUEY and NUEP could be achieved through the selection of the three yield components (grain number spike−1, 1000‐seed weight, and harvest index) at low nitrogen.

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“…In spring barley, the DM of leaf blades, followed by culms, was mostly better estimated than that of spikes and leaf sheaths [42]. Studies on wheat breeding lines suggested red edge (RE)-based SVIs for DM at anthesis and maturity [41,43] and found better estimations in thin, less-saturated canopies. The detection of N fertilization effects is well established [44,45] whereas the previous applications of spectral sensing for disease detection focused on leaf level measurements and imaging techniques for guiding fungicide applications [15,46].The present study evaluates the spectral estimation of DM data previously reported by Prey et al (2019a) [25], including plant-and organ-level DM traits at anthesis and maturity, DM allocation and translocation as well as yield components in response to two levels of N fertilization, fungicide intensity and sowing dates for six winter wheat cultivars.…”

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confidence: 99%

Deep Phenotyping of Yield-Related Traits in Wheat

Prey

Schmidhalter

2020

Agronomy

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The complex formation of grain yield (GY) is related to multiple dry matter (DM) traits; however, due to their time-consuming determination, they are not readily accessible. In winter wheat (Triticum aestivum L.), both agronomic treatments and genotypic variation influence GY in interaction with the environment. Spectral proximal sensing is promising for high-throughput non-destructive phenotyping but was rarely evaluated systematically for dissecting yield-related variation in DM traits. Aiming at a temporal, spectral and organ-level optimization, 48 vegetation indices were evaluated in a high-yielding environment in 10 growth stages for the estimation of 31 previously compared traits related to GY formation—influenced by sowing time, fungicide, N fertilization, and cultivar. A quantitative index ranking was evaluated to assess the stage-independent index suitability. GY showed close linear relationships with spectral vegetation indices across and within agronomic treatments (R2 = 0.47–0.67 ***). Water band indices, followed by red edge-based indices, best used at milk or early dough ripeness, were better suited than the widely used normalized difference vegetation index (NDVI). Index rankings for many organ-level DM traits were comparable, but the relationships were often less close. Among yield components, grain number per spike (R2 = 0.24–0.34 ***) and spike density (R2 = 0.23–0.46 ***) were moderately estimated. GY was mainly estimated by detecting total DM rather than the harvest index. Across agronomic treatments and cultivars, seasonal index rankings were the most stable for GY and total DM, whereas traits related to DM allocation and translocation demanded specific index selection. The results suggest using indices with water bands, near infrared/red edge and visible light bands to increase the accuracy of in-season spectral phenotyping for GY, contributing organ-level traits, and yield components, respectively.

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Canopy spectral reflectance can predict grain nitrogen use efficiency in soft red winter wheat

Cited by 32 publications

References 47 publications

Greater Biomass Accumulation at Anthesis Increases Nitrogen Use Efficiency in Winter Wheat

Greater Biomass Accumulation at Anthesis Increases Nitrogen Use Efficiency in Winter Wheat

Differential responses of grain yield, grain protein, and their associated traits to nitrogen supply in soft red winter wheat

Deep Phenotyping of Yield-Related Traits in Wheat

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