Root Traits Enhancing Rice Grain Yield under Alternate Wetting and Drying Condition

Sandhu, Nitika; Subedi, Sudeep; Yadaw, Ram Baran; Chaudhary, B. D.; Prasai, Hari Kumar; Iftekharuddaula, K. M.; Thanak, Tho; Vathany, Thun; Battan, K. R.; Ram, Mangat; Venkateshwarlu, Challa; Lopena, Vitaliano; Pablico, P. P.; Maturan, Paul Cornelio; Cruz, Ma Teresa Sta; Raman, K. Anitha; Collard, B. C. Y.; Kumar, Arvind

doi:10.3389/fpls.2017.01879

Cited by 47 publications

(35 citation statements)

References 38 publications

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“…The partial factor productivity of nitrogen decreased with the nitrogen application rates and, similar to the NUE, it is dependent on rice growing season, irrigation regime, and the genotype. [74] found higher nodal roots, root length and higher root dry weight for four selected rice genotypes compared to IR64, which is a lowland-adapted variety. The improvement of this trait under AWD improves access to water and nutrient in the top soil layer and grain filling rates [75][76][77].…”

Section: Partial Factor Productivity Of Nitrogen (Pfpn)mentioning

confidence: 78%

Effects of Alternate Wetting and Drying Irrigation Regime and Nitrogen Fertilizer on Yield and Nitrogen Use Efficiency of Irrigated Rice in the Sahel

Djaman

Mel²,

Diop

et al. 2018

Water

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The objectives of this study were to investigate water saving strategies in the paddy field and to evaluate the performance of some of the newly released rice varieties. Field experiments were conducted at Fanaye in the Senegal River Valley during two rice growing seasons in 2015. Three irrigation regimes ((i) continuous flooding, (ii) trigging irrigation at soil matric potential (SMP) of 30 kPa, (iii) trigging irrigation at SMP of 60 kPa) were tested in an irrigated lowland rice field. Irrigation regimes (ii) and (iii) are alternate wetting and drying (AWD) cycles. Four inbred rice varieties (NERICA S-21, NERICA S-44, Sahel 210 and Sahel 222) and one hybrid rice (Hybrid AR032H) were evaluated under five nitrogen fertilizer rates (0, 50, 100, 150 and 200 kg N ha −1). The results showed that rice yield varied from 0.9 to 12 t ha −1. The maximum yield of 12 t ha −1 was achieved by NERICA S-21 under AWD 30 kPa at 150 kg N ha −1. The AWD irrigation management at 30 kPa resulted in increasing rice yield, rice water use and nitrogen use efficiency and reducing the irrigation applications by 27.3% in comparison with continuous flooding. AWD30 kPa could be adopted as a water saving technology for water productivity under paddy production in the Senegal River Middle Valley. Additional research should be conducted in the upper Valley, where soils are sandier and water is less available, for the sustainability and the adoption of the irrigation water saving practices across the entire Senegal River Valley.

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Section: Partial Factor Productivity Of Nitrogen (Pfpn)mentioning

confidence: 78%

Effects of Alternate Wetting and Drying Irrigation Regime and Nitrogen Fertilizer on Yield and Nitrogen Use Efficiency of Irrigated Rice in the Sahel

Djaman

Mel²,

Diop

et al. 2018

Water

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“…Yet, despite the uncertainty posed by climate change and the general scarcity of water resources in rice-producing regions of Europe, we know little about whether AWD is a viable alternative for European rice farmers. Region-specific knowledge is crucial for assessing the practical viability of this new management approach, because prior research suggests that the success of AWD is contingent upon local plant cultivars thriving under AWD, with poorly-adapted cultivars potentially showing a negative response to reduced water inputs (Matsunami et al, 2012; Sandhu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of water management and cultivar on carbon dynamics, plant productivity and biomass allocation in European rice systems

Oliver

Cochrane

Magnusson

et al. 2019

Science of The Total Environment

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Water saving techniques, such as alternate wetting and drying (AWD), are becoming a necessity in modern rice farming because of climate change mitigation and growing water use scarcity. Reducing water can vastly reduce methane (CH 4 ) emissions; however, this net climate benefit may be offset by enhanced carbon dioxide (CO 2 ) emissions from soil. The main aims of this study were: to determine the effects of AWD on yield and ecosystem C dynamics, and to establish the underlying mechanistic basis for observed trends in net ecosystem C gain or loss in an Italian rice paddy. We investigated the effects of conventional water management (i.e. conventionally flooded paddy; CF) and AWD on biomass accumulation (aboveground, belowground, grain), key ecosystem C fluxes (net ecosystem exchange (NEE), net primary productivity (NPP), gross primary productivity (GPP), ecosystem respiration (ER), autotrophic respiration (RA), heterotrophic respiration (RH)), and soil organic matter (SOM) decay for four common commercial European rice cultivars. The most significant finding was that neither treatment nor cultivar affected NEE, GPP, ER or SOM decomposition. RA was the dominant contributor to ER for both CF and AWD treatments. Cultivar and treatment affected the total biomass of the rice plants; specifically, with greater root production in CF compared to AWD. Importantly, there was no effect of treatment on the overall yield for any cultivar. Possibly, the wetting-drying cycles may have been insufficient to allow substantial soil C metabolism or there was a lack of labile substrate in the soil. These results imply that AWD systems may not be at risk of enhancing soil C loss, making it a viable solution for climate change mitigation and water conservation. Although more studies are needed, the initial outlook for AWD in Europe is positive; with no net loss of soil C from SOM decomposition, whilst also maintaining yield.

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“…Significant differences in genotypic responses to AWD, measured by changes in grain yield, have also been reported and attributed to modified biomass partitioning ( Bueno et al 2010 ). Root architectural traits such as the number of nodal roots and root dry weight at a depth of 10-20 cm 22-30 days after transplanting also significantly contribute to yield stability under AWD ( Sandhu et al 2017 ). Genome wide association analysis using a diversity panel revealed AWD-specific associations for several agronomic traits including days to flowering, plant height, tillering, and panicle and seed characteristics ( Volante et al 2017 ).…”

mentioning

confidence: 99%

Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in Rice

Hassen

Bartholome

Valè

et al. 2018

G3 Genes|Genomes|Genetics

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Developing rice varieties adapted to alternate wetting and drying water management is crucial for the sustainability of irrigated rice cropping systems. Here we report the first study exploring the feasibility of breeding rice for adaptation to alternate wetting and drying using genomic prediction methods that account for genotype by environment interactions. Two breeding populations (a reference panel of 284 accessions and a progeny population of 97 advanced lines) were evaluated under alternate wetting and drying and continuous flooding management systems. The predictive ability of genomic prediction for response variables (index of relative performance and the slope of the joint regression) and for multi-environment genomic prediction models were compared. For the three traits considered (days to flowering, panicle weight and nitrogen-balance index), significant genotype by environment interactions were observed in both populations. In cross validation, predictive ability for the index was on average lower (0.31) than that of the slope of the joint regression (0.64) whatever the trait considered. Similar results were found for progeny validation. Both cross-validation and progeny validation experiments showed that the performance of multi-environment models predicting unobserved phenotypes of untested entrees was similar to the performance of single environment models with differences in predictive ability ranging from -6–4% depending on the trait and on the statistical model concerned. The predictive ability of multi-environment models predicting unobserved phenotypes of entrees evaluated under both water management systems outperformed single environment models by an average of 30%. Practical implications for breeding rice for adaptation to alternate wetting and drying system are discussed.

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Root Traits Enhancing Rice Grain Yield under Alternate Wetting and Drying Condition

Cited by 47 publications

References 38 publications

Effects of Alternate Wetting and Drying Irrigation Regime and Nitrogen Fertilizer on Yield and Nitrogen Use Efficiency of Irrigated Rice in the Sahel

Effects of Alternate Wetting and Drying Irrigation Regime and Nitrogen Fertilizer on Yield and Nitrogen Use Efficiency of Irrigated Rice in the Sahel

Effects of water management and cultivar on carbon dynamics, plant productivity and biomass allocation in European rice systems

Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in Rice

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