Genotypic Variability in Root Morphology in a Diverse Wheat Genotypes Under Drought and Low Phosphorus Stress DOI Creative Commons
Xin Li, Yinglong Chen, Yuzhou Xu

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(23), P. 3361 - 3361

Published: Nov. 29, 2024

Screening genotypes with optimal root traits presents a promising breeding strategy for enhancing adaptability to abiotic stresses and improving resource use efficiency. This study evaluated of 100 winter wheat under four treatments: control (C), low phosphorus (LP), PEG-induced drought (D), combination LP (DLP), using semi-hydroponic phenotyping platform. Significant variations in were observed 65 days after transplanting, over 80% being significantly affected by drought, phosphorus, or their interactions. Biomass content decreased while length diameter deeper layers increased, especially stress. Combined stress led the most severe reductions biomass, P-content, leaf number. Phosphorus acquisition efficiency was positively correlated but inversely related tolerance. High heritability traits, such as number, length, maximum depth, hold potential programs focused on environmental adaptation, efficiency, yield improvement. The substantial genotypic variation morphology conditions highlights stress-resilient genotypes. finding lays foundation wheat-breeding initiatives aimed at developing better suited prevailing conditions.

Language: Английский

Deep and continuous root development in ameliorated soil improves water and nutrient uptakes and wheat yield in water-limited conditions DOI Creative Commons
Gaus Azam,

Kanch Wickramarachchi,

Craig Scanlan

et al.

Plant and Soil, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Despite the widespread co-occurrence of subsoil acidity and compaction, interaction between these factors their combined effects on root system development under water-limited conditions is poorly understood. This study aimed to investigate how removal soil strength influenced examine relationships properties shoot growth field conditions. Images were obtained in situ by using rhizotron facilities assess temporal improvement through loosening lime incorporation wheat 2018 season. Following this, we examined relationship enhanced systems, water nutrient uptakes, overall crop performance. The results indicated that improved significantly planar length density (pRLD) elongation proliferation roots subsoil. Regressing tree analysis suggested had a more dominant influence pRLD compared pH or aluminium — leading higher uptake, head yield. In addition benefit loosening, treatment acidity, promoting continuous with hairs, allowing plants access previously unavailable nutrients improve yield further. highlights critical role managing multiple constraints for optimising productivity. this study, integration images data provided deeper understanding root-soil interactions which could be useful developing sustainable management practices optimise productivity challenging

Language: Английский

Citations

2

Genetic control of root morphology in response to nitrogen across rapeseed diversity DOI
Loïc Haelterman, Julien Louvieaux, Claudia Chiodi

et al.

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(3)

Published: May 1, 2024

Abstract Rapeseed ( Brassica napus L . ) is an oil‐containing crop of great economic value but with considerable nitrogen requirement. Breeding root systems that efficiently absorb from the soil could be a driver to ensure genetic gains for more sustainable rapeseed production. The aim this study identify genomic regions regulate morphology in response nitrate availability. natural variability offered by 300 inbred lines was screened at two experimental locations. Seedlings grew hydroponically low or elevated levels. Fifteen traits related biomass production and were measured. On average across panel, level increased root‐to‐shoot ratio lateral length. A large phenotypic variation observed, along important heritability values genotypic effects, genotype‐by‐nitrogen interactions. Genome‐wide association bulk segregant analysis used loci regulating traits. first approach nominated 319 SNPs combined into 80 QTLs. Three QTLs identified on A07 C07 chromosomes stable levels and/or second involved genotyping groups individuals F2 population created crossing accessions contrasting lengths. These found tails distribution. Co‐localized both mapping approaches covered chromosomal region A06 chromosome. QTL contained some genes putatively organogenesis represent selection targets redesigning rapeseed.

Language: Английский

Citations

1

Screening key sorghum germplasms for low-nitrogen tolerance at the seedling stage and identifying from the carbon and nitrogen metabolism DOI Creative Commons
Chunjuan Liu,

Wendong Gu,

Bang Li

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 12, 2024

Sorghum (

Language: Английский

Citations

1

Cultivar mixtures of maize enhance grain yield and nitrogen use efficiency by promoting canopy photosynthetically active radiation and root growth DOI Creative Commons
Xucun Jia, Fuli Li,

Zhengyan Miao

et al.

Journal of Integrative Agriculture, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

1

Traits and trade-offs: dissecting nitrogen use efficiency in maize using plant modeling DOI Creative Commons
Jie Lu

Published: Jan. 1, 2024

Excessive nitrogen (N) can be lost to the ecosystem and result in acidification and/or eutrophication of natural ecosystems.Reducing N application agricultural systems is necessary mitigate environmental pollution.Breeding for crops with a high use efficiency contribute maintaining or even increasing yield at lower amounts fertilizer applied.Nitrogen co-determined by uptake physiological (PE, grain biomass per unit taken up), which soil processes as well plant architectural, physiological, developmental traits contribute.This thesis aims quantify effects relevant maize mechanisms support breeding programs sustainable production.I developed validated functional-structural (FSP) model simulates consequences growth, function range traits.I show that it primarily architectural are use; not so much traits.Furthermore, I plasticity important only under nitrogen-limiting conditions but also non-limiting conditions, notably improving uptake.Importantly, this increase was linked changes vertical distribution roots rather than total root system size.In addition, using cultivars plastically respond status may any negative stay-green on content.Finally, combined cluster analysis FSP modelling identify phenotypes allow both uptake.The results demonstrated trade-offs uptake, between sink strength carbon, root-to-leaf partitioning.Using identified two give N-uptake, combination low length density 15 cm 45 depth allowed combine uptake.Overall, shows combining ecological principles current criteria add new dimensions process selection cultivars.However, we still v need understand more about role maximize growth while being efficient resource use, phenotypic relationship productivity capture over wide environments.Therefore, silico vivo approaches better solid understanding how individual influence crop performance.

Language: Английский

Citations

0

Editorial: Crop root system adaptation to hostile soils DOI Creative Commons
Yinglong Chen, Jairo A. Palta

Plant and Soil, Journal Year: 2024, Volume and Issue: unknown

Published: June 10, 2024

Language: Английский

Citations

0

Divide and conquer: Using RhizoVision Explorer to aggregate data from multiple root scans using image concatenation and statistical methods DOI
Anand Seethepalli, Chanae Ottley, Joanne Childs

et al.

Published: July 10, 2024

Abstract Roots are important in agricultural and natural systems for determining plant productivity soil carbon inputs. The collection of root samples from the field their subsequent cleaning scanning a water-filled tray ranging size 5 to 20 cm, followed by digital image analysis has been commonly used since 1990s measuring length, volume, area, diameter. However, one common issue neglected. Sometimes, amount roots sample is too much fit into single scanned image, so divided among several scans. There no standard method aggregate measurements across scans same sample. Here, we describe validate two methods standardizing multiple scans: concatenation statistical aggregation. Both rely on file naming conventions identify that belong Image refers combining images larger while maintaining original resolution. We developed Python script identifies which returns single, concatenated every set directory. These (combining up 10 scans) were processed with RhizoVision Explorer, free open-source software estimating traits images, settings. An R was can rows data belonging Explorer files apply correct such as summation, weighted average appropriate measurement types return row each compared using example switchgrass, poplar, various tree ericaceous shrub species northern peatland Arctic. Overall, new accomplished goal Most nearly identical except median diameter, not be accurately computed believe availability these will useful biology community.

Language: Английский

Citations

0

Responses of root architectural and anatomical traits to low nitrogen stress in rice DOI Creative Commons
Tian Tian, Jonathan P. Lynch, Kathleen M. Brown

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Abstract Improving nitrogen use efficiency in rice would provide economic and environmental benefits, but little is known about root morphological anatomical responses to low nitrogen. In this study, two sets of genotypes, one set from the RDP1 panel, recombinant inbred lines, were used characterize gradual depletion by plant uptake movement deeper soil strata as a result leaching, so that more was available at depth aerobic mesocosms greenhouse. There significant genetic variation shoot biomass reductions response The ratio increased both genotypes. Relative investment nodal number accentuated with nitrogen, correlated numbers lengths large lateral roots. for length Anatomical assessed roots RILs, where cross-sectional area, stele metaxylem vessel reduced diameter interactions genotype area percent aerenchyma RILs. Genetic may be useful selection lines greater acquisition under nitrogen-leaching conditions.

Language: Английский

Citations

0

Divide and conquer: using RhizoVision Explorer to aggregate data from multiple root scans using image concatenation and statistical methods DOI Creative Commons
Anand Seethepalli, Chanae Ottley, Joanne Childs

et al.

New Phytologist, Journal Year: 2024, Volume and Issue: 244(5), P. 2101 - 2108

Published: Oct. 6, 2024

Roots are important in agricultural and natural systems for determining plant productivity soil carbon inputs. Sometimes, the amount of roots a sample is too much to fit into single scanned image, so divided among several scans, there no standard method aggregate data. Here, we describe validate two methods standardizing measurements across multiple scans: image concatenation statistical aggregation. We developed Python script that identifies which images belong same returns single, larger concatenated image. These original were processed with RhizoVision Explorer, free open-source software. An R was developed, rows data belonging applies correct return row each sample. compared using example from switchgrass, poplar, various tree ericaceous shrub species northern peatland Arctic. Most root nearly identical between except median diameter, cannot be accurately computed by believe availability these will useful biology community.

Language: Английский

Citations

0

Assessment of genetic diversity by phenological traits, field performance, and Start Codon Targeted (SCoT) polymorphism marker of seventeen soybean genotypes (Glycine max L.) DOI Creative Commons
Mahmoud Abdel-Sattar, E. M. Zayed,

Mohamed K. Abou-Shlell

et al.

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17868 - e17868

Published: Oct. 9, 2024

The Egyptian-farmed soybeans have a wide range of genetic diversity which is most important in plant improvement programs order to develop new higher yielding soybean genotypes. present study designed determine the variability among seventeen genotypes cultivated ( Glycine max L.) by examining phenotypic level at seedling stage, field performance over two years 2022/2023 and genetically using Start Codon Targeted (SCoT) markers. Results indicated that SCoT markers, 100 seed weight, tip angle (TA) traits were positively correlated with H2L12, DR 101, H15L5, H117 In addition, number branches per height associated H113, H32, Crowford, H129, D7512035. Furthermore, length first internode (LFI), root width (RW), (RL), shoot (SL) more Giza 111, NC105, Hutcheson. hierarchical cluster analysis (HCA) its heatmap explored differences It showed all examined parameters clustered into four distinct clusters. obtained results H30, D75_12035, H2L12 promising phenological morphological besides tracking inheritance nearby genes surrounding ATG translation start codon since they are monoclades. will help breeder plan appropriate selection strategies for improving yield through hybridization from divergent

Language: Английский

Citations

0