Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Morphological traits of drought tolerant horse gram germplasm: classification through machine learning.

Journal of the science of food and agriculture - 1 Oct 2020

Amal Thomas Cheeran, Thottathil Asif T, Veerakumari Kumarasamy P, Rakkiyappan Rajan, Vasanth Krishnan

Abstract excerpt

BACKGROUND: Horse gram (Macrotyloma uniflorum (Lam.) Verdc.) is an underutilized pulse crop with good drought resistance traits. It is a rich source of protein. Conventional breeding methods for high yielding and abiotic stress tolerant germplasm are hampered by the scarcity of morphological data sets. Thus, horse gram cultivars considered for this study is classified based on prevailing growth factors showing...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Droughts

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Fabaceae

Share to Machine Learning

Share to Plant Breeding

Share to Quantitative Trait Loci

Share to Stress, Physiological

Source

Identifiers

PMID: 32484245
DOI: 10.1002/jsfa.10559

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Morphological traits of drought tolerant horse gram germplasm: classification through machine learning.PMID 32484245Read ↗

Elucidation of drought tolerance potential of horsegram (Macrotyloma uniflorum Var.) germplasm using genome wide association studies.Semantic proximity Read ↗

Genetic diversity in Sickleweed (Falcaria vulgaris) and using stepwise regression to identify marker associated with traits.Semantic proximity Read ↗

Multivariate analysis for agro-morphological and quality traits in groundnut (Arachis hypogaea L.) genotypes in Eastern Ethiopia.Semantic proximity Read ↗

Classification and prediction of drought and salinity stress tolerance in barley using GenPhenML.Semantic proximity Read ↗

Morphological and molecular diversity in mid-late and late maturity genotypes of cauliflower.Semantic proximity Read ↗

Evaluation of basil (Ocimum basilicum) accessions under different drought conditions based on yield and physio-biochemical traits.Semantic proximity Read ↗

Genotype-specific responses to in vitro drought stress in myrtle (Myrtus communis L.): integrating machine learning techniques.Semantic proximity Read ↗

Feijoa [Acca sellowiana (Berg) Burret] accessions characterization and discrimination by chemometrics.Semantic proximity Read ↗

Application of machine learning for identification of heterotic groups in sunflower through combined approach of phenotyping, genotyping and protein profiling.Semantic proximity Read ↗

Relation between quantitative descriptive analysis and textural analysis of boiled plantain.Semantic proximity Read ↗

Convergence of goals: phylogenetical, morphological, and physiological characterization of tolerance to drought stress in tall fescue (Festuca arundinacea Schreb.).Semantic proximity Read ↗

Integrating phenotypic traits, multivariate statistics, and machine-learning models to predict yield in Himalayan kiwifruit (Actinidia deliciosa) orchards.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.