Results 31 to 40 of about 169,946 (260)

The evolution of genetic covariance and modularity as a result of multigenerational environmental fluctuation

Evolution Letters, 2023
Abstract The genetic covariance between traits can affect the evolution of a population through selection, drift, and migration. Conversely, research has demonstrated the reciprocal effect of evolutionary processes on changing genetic covariances, in part through mutational covariance, correlational selection, and plasticity.
do O, I., Whitlock, M.C.
openaire   +3 more sources

Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties

Remote Sensing, 2022
Defining nutrient management zones (MZs) is crucial for the implementation of site-specific management. The determination of MZs is based on several factors, including crop, soil, climate, and terrain characteristics.
Roomesh Kumar Jena, Siladitya Bandyopadhyay, Upendra Kumar Pradhan, Pravash Chandra Moharana, Nirmal Kumar, Gulshan Kumar Sharma, Partha Deb Roy, Dibakar Ghosh, Prasenjit Ray, Shelton Padua, Sundaram Ramachandran, Bachaspati Das, Surendra Kumar Singh, Sanjay Kumar Ray, Amnah Mohammed Alsuhaibani, Ahmed Gaber, Akbar Hossain   +16 more
doaj   +1 more source

Environmental effects on the covariation among pace‐of‐life traits

Ethology, 2019
Abstract Pace‐of‐life syndromes (POLSs) are suites of life‐history, physiological and behavioural traits that arise due to trade‐offs between allocation to current and future reproduction. Traits generally show covariation that can arise from genetic and environmental influences on phenotypes and constrain the independent evolution of
Anni Hämäläinen, Anja Guenther, Samantha Patrick, Wiebke Schuett   +3 more
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Environmental covariates: Effects on the power of sib‐pair linkage methods [PDF]

Genetic Epidemiology, 1999
AbstractThe effect of inclusion of environmental risk factors on the power of sib‐pair linkage methods was tested for a qualitative trait. It was found that inclusion of an environmental variable did not increase the power of the Haseman‐Elston (H‐E) sib‐pair nonparametric linkage analysis test. However, a significant increase in power was observed for
D M, Mandal, A J, Sorant, E W, Pugh, S E, Marcus, A P, Klein, R A, Mathias, J, O'Neill, L F, Temiyakarn, A F, Wilson, J E, Bailey-Wilson   +9 more
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Optimal Mapping of Soil Erodibility in a Plateau Lake Watershed: Empirical Models Empowered by Machine Learning

Remote Sensing
Soil erodibility (K) refers to the inherent ability of soil to withstand erosion. Accurate estimation and spatial prediction of K values are vital for assessing soil erosion and managing land resources.
Jiaxue Wang, Yujiao Wei, Zheng Sun, Shixiang Gu, Shihan Bai, Jinming Chen, Jing Chen, Yongsheng Hong, Yiyun Chen   +8 more
doaj   +1 more source

Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information

Remote Sensing, 2023
Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun, Feng Liu, Decai Wang, Huayong Wu, Ganlin Zhang   +4 more
doaj   +1 more source

Digital Mapping of Soil Organic Carbon Using Machine Learning Algorithms in the Upper Brahmaputra Valley of Northeastern India

Land, 2023
Soil Organic Carbon (SOC) is a crucial indicator of ecosystem health and soil quality. Machine learning (ML) models that predict soil quality based on environmental parameters are becoming more prevalent.
Amit Kumar, Pravash Chandra Moharana, Roomesh Kumar Jena, Sandeep Kumar Malyan, Gulshan Kumar Sharma, Ram Kishor Fagodiya, Aftab Ahmad Shabnam, Dharmendra Kumar Jigyasu, Kasthala Mary Vijaya Kumari, Subramanian Gandhi Doss   +9 more
doaj   +1 more source

Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China

International Journal of Digital Earth, 2023
Mapping soil organic matter (SOM) content has become an important application of digital soil mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 to 2022 and integrated the
Chong Luo, Wenqi Zhang, Xinle Zhang, Huanjun Liu   +3 more
doaj   +1 more source

Modeling and mapping spatial distribution of baseline soil organic carbon stock, a case of West Hararghe, Oromia Regional State, Eastern Ethiopia

Geology, Ecology, and Landscapes
Location-specific information on soil organic carbon (SOC) helps to identify potential sources and sinks of carbon. The objective of this study was to produce a 30m-resolution digital map of SOC stock for selected districts in West Hararghe Zone of ...
Martha Kidemu Negassa, Mitiku Haile, Gudina Legesse Feyisa, Lemma Wogi, Feyera Merga   +4 more
doaj   +1 more source

ANALYSIS OF CHARACTER DIVERGENCE ALONG ENVIRONMENTAL GRADIENTS AND OTHER COVARIATES [PDF]

Evolution, 2007
Character displacement is typically identified by comparing phenotypic differences in sympatry and allopatry. Recently, however, Goldberg and Lande (2006) pointed out that when phenotypic characters vary along an environmental gradient, the standard approach may fail to identify sympatric character divergence.
Dean C, Adams, Michael L, Collyer
openaire   +2 more sources