Selection of sowing date and biofertilization as alternatives to improve the yield and profitability of the F68 rice variety

Amaya, Yeison Mauricio Quevedo; Beltrán-Medina, José Isidro; Hoyos-Cartagena, José Álvaro; Calderón-Carvajal, John Edinson; Barragán-Quijano, Eduardo

doi:10.15446/agron.colomb.v38n1.79803

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…While some improvement in agronomic NUE can be attained through slow-release fertilizers ( Li T. et al, 2018 ), bio-fertilizers ( Bargaz et al, 2018 ; Quevedo-Amaya et al, 2020 ) and crop management practices ( Guo et al, 2017 ; Cui et al, 2018 ; Santiago-Arenas et al, 2020 ), the improvement of inherent plant NUE has to be tackled biologically. The lack of a well-defined phenotype for N response and NUE has hampered biological interventions for crop improvement ( Mandal et al, 2018 ; Raghuram and Sharma, 2019 ; Sinha et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

et al. 2021

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Crop improvement for Nitrogen Use Efficiency (NUE) requires a well-defined phenotype and genotype, especially for different N-forms. As N-supply enhances growth, we comprehensively evaluated 25 commonly measured phenotypic parameters for N response using 4 N treatments in six indica rice genotypes. For this, 32 replicate potted plants were grown in the green-house on nutrient-depleted sand. They were fertilized to saturation with media containing either nitrate or urea as the sole N source at normal (15 mM N) or low level (1.5 mM N). The variation in N-response among genotypes differed by N form/dose and increased developmentally from vegetative to reproductive parameters. This indicates survival adaptation by reinforcing variation in every generation. Principal component analysis segregated vegetative parameters from reproduction and germination. Analysis of variance revealed that relative to low level, normal N facilitated germination, flowering and vegetative growth but limited yield and NUE. Network analysis for the most connected parameters, their correlation with yield and NUE, ranking by Feature selection and validation by Partial least square discriminant analysis enabled shortlisting of eight parameters for NUE phenotype. It constitutes germination and flowering, shoot/root length and biomass parameters, six of which were common to nitrate and urea. Field-validation confirmed the NUE differences between two genotypes chosen phenotypically. The correspondence between multiple approaches in shortlisting parameters for NUE makes it a novel and robust phenotyping methodology of relevance to other plants, nutrients or other complex traits. Thirty-Four N-responsive genes associated with the phenotype have also been identified for genotypic characterization of NUE.

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Section: Introductionmentioning

confidence: 99%

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

et al. 2021

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“…Understanding these factors and their interrelations and correlations could pave the way towards improving NUE because none of the single factor alone is responsible for NUE. Several approaches have been used to study the impact/response of different factors contributing to NUE, for example, different fertilizers (Bargaz et al., 2018; Li et al., 2018; Quevedo‐Amaya et al., 2020) and crop management strategies (Cui et al., 2018; Guo et al., 2017; Santiago‐Arenas et al., 2020), transgenic approaches (Mandal et al., 2018; Raghuram & Sharma, 2019; Sinha et al., 2020), functional genomics (Pathak et al., 2020), genome‐wide association mapping (Tang et al., 2019), evaluation of phenotypic and physiological parameters (Chardon et al., 2010; Jain et al., 2011; Mukami et al., 2019), etc. These approaches were primarily implemented without adequately considering the multifaceted aspects associated with NUE.…”

Section: Introductionmentioning

confidence: 99%

Unravelling the interplay of different traits and parameters related to nitrogen use efficiency in wheat for climate‐resilient agriculture

Gayatri,

Mandal,

Venkatesh

et al. 2024

J Agronomy Crop Science

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Enhancing Nitrogen Use Efficiency (NUE) is extremely important towards mitigating climate change, especially in wheat where the NUE is less than 50%. Hence, optimizing grain yield under reduced application of nitrogenous fertilizer is a significant challenge. To address this challenge, a comprehensive study was conducted to investigate various agronomic traits and morphological, biochemical and molecular parameters related to NUE. This study explored their interrelationships and effects on grain yield, providing novel insights that were not previously reported. A set of 278 diverse wheat genotypes were assessed, encompassing eight NUE‐related field traits. All traits' values were reduced under stressed N (ranging from 7.5% to 77.5%) except Nitrogen Utilization Efficiency (NUtE) and NUE. Data analysis showed a significant positive correlation between grain yield and all other NUE‐related traits (r2 value ranged from .23 to 1.00), highlighting their relevance in comprehending the biological NUE of wheat plants. Principal component analysis (PCA) also revealed that N at head and N at harvest were more connected with gain yield, NUE and biomass under the optimum N condition, but less connected with gain yield and NUE under the stressed N condition. To complement the field data, representative genotypes were further subjected to a hydroponics experiment under absolute N control to study the different morphological parameters, photosynthetic pigments and the performance of essential N‐ and C‐metabolizing enzymes at the seedling stage. N stress had a detrimental impact on the majority of the parameters (−0.84% to −79.8%). Nitrite reductase (NiR), glutamate dehydrogenase (GDH) and isocitrate dehydrogenase (ICDH) enzymes as well as root length (RL), root fresh weight (RFW) and CS transcript, were positively affected by 5.9%–35.6%. The correlation analysis highlighted the substantial influence of four key N‐metabolizing enzymes, namely nitrate reductase (NR), glutamine synthetase (GS), glutamate oxo‐glutarate aminotransferase (GOGAT), and GDH on grain yield. Additionally, this study highlighted the direct and indirect associations between seedling parameters and field traits, where shoot and root length were found to be most significant for N acquisition, especially under N stress. In conclusion, these findings offer valuable insights into the intricate network of traits and parameters influencing wheat grain yield under varying N regimes.

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“…Perhaps understanding these factors and their interrelations and correlations could pave the way towards improving NUE because none of the single factors can address all the concerns of NUE. Several approaches have been used to study the impact/response of different factors contributing to NUE, e.g., different fertilizers (Bargaz et al, 2018;Li et al, 2018;Quevedo-Amaya et al, 2020) and crop management strategies (Cui et al, 2018;Guo et al, 2017;Santiago-Arenas et al, 2020), transgenic approaches (Mandal et al, 2018;Raghuram et al, 2019;Sinha et al, 2020), functional genomics (Pathak et al, 2020), genome-wide association mapping (Tang et al, 2019), evaluation of phenotypic and physiological parameters (Chardon et al, 2010;Jain et al, 2011;Mukami et al, 2019), etc. These strategies and approaches were mostly attempted with a few traits/parameters without addressing the various aspects related to NUE.…”

Section: Introductionmentioning

confidence: 99%

Unraveling the Interplay of Different Traits and Parameters Related to Nitrogen Use Efficiency in Wheat: Insights for Grain Yield Influence

Gayatri¹,

Venkatesh²,

Mandal³

2023

Preprint

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Enhancing Nitrogen Use Efficiency (NUE) in wheat to optimize grain yield is a significant challenge. To address this challenge, a comprehensive study was conducted to investigate various morphological, biochemical, molecular parameters, and agronomic traits related to NUE. By examining various traits under both optimum-N (ON) and stressed-N (SN) conditions, the study explores the interrelationships among these traits, providing novel insights not previously reported. A set of 278 diverse wheat genotypes were assessed, encompassing eight NUE-related traits: Grain Yield, Biomass, Grain nitrogen, N at head, N at harvest, N-uptake, Nitrogen Uptake Efficiency, Nitrogen Utilization Efficiency, and NUE under both ON and SN conditions in the field. The findings demonstrated a significant positive correlation between grain yield and all NUE-related traits, highlighting their significance in comprehending the biological NUE of wheat plants. Notably, the study identified N-uptake and N-uptake related traits as key factors influencing the impact of soil nitrogen status on yield and associated parameters. These traits hold particular importance for selecting wheat genotypes with optimal yield and NUE in wheat cultivation. To complement the field data, representative genotypes were further subjected to a hydroponics experiment under absolute nitrogen control. This experiment provided insights into the effects of nitrogen stress on morphological parameters and the performance of eight essential nitrogen and carbon metabolizing enzymes. Correlation analysis highlighted the substantial influence of four key N-metabolizing enzymes, namely Nitrate Reductase, Glutamine Synthetase, Glutamate Oxo-Glutarate Amino Transferase, and Glutamate Dehydrogenase, on grain yield. Additionally, this study underscored the direct and indirect associations between seedling parameters and field traits, emphasizing the significance of shoot and root length parameters in nitrogen acquisition under nitrogen stress. In conclusion, these findings offer valuable insights into the intricate network of traits and parameters that influence wheat grain yield under varying nitrogen regimes. This knowledge can aid in the selection of wheat genotypes with enhanced NUE and grain yield, particularly in scenarios of reduced nitrogen application.

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Selection of sowing date and biofertilization as alternatives to improve the yield and profitability of the F68 rice variety

Cited by 4 publications

References 35 publications

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

Unravelling the interplay of different traits and parameters related to nitrogen use efficiency in wheat for climate‐resilient agriculture

Unraveling the Interplay of Different Traits and Parameters Related to Nitrogen Use Efficiency in Wheat: Insights for Grain Yield Influence

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