Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome

Spurthi Nayak Polavarapu Kavi Kishor Rajeev Varshney (2010, [Artículo])

Simple Sequence Repeats Mapping Population Translational Studies CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ANCHORS CHICKPEAS CICER ARIETINUM GENETIC MAPS GENETIC MARKERS MEDICAGO MEDICAGO TRUNCATULA MICROSATELLITES SINGLE NUCLEOTIDE POLYMORPHISM GENES

Impact of adoption of heat-stress tolerant maize hybrid on yield and profitability: evidence from Terai region of Nepal

Atul Kulkarni Keshab Babu Koirala Pervez Zaidi (2023, [Artículo])

Inverse Probability Weighted Regression Heat Tolerant Maize Hybrid Partial Budget CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEAT STRESS HEAT TOLERANCE MAIZE HYBRIDS BUDGETS YIELDS

Willingness to pay (WTP) for heat-tolerant maize hybrids in the Mid-Western Terai region of Nepal

Atul Kulkarni Keshab Babu Koirala Pervez Zaidi (2023, [Artículo])

Heat-Tolerant Maize Hybrid Preference Heterogeneity CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEAT TOLERANCE MAIZE HYBRIDS WILLINGNESS TO PAY CONTINGENT VALUATION

Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank

Muhammad Massub Tehseen Fatma Aykut Tonk Ahmed Amri Carolina Sansaloni Ezgi Kurtulus Muhammad Salman Mubarik Kumarse Nazari (2022, [Artículo])

Wheat Landraces Genetic Diversity SNP Markers Analysis of Molecular Variance AMOVA CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING DISCRIMINANT ANALYSIS GENETIC VARIATION GENETIC DISTANCE GENETIC IMPROVEMENT GENETIC MARKERS HEXAPLOIDY LANDRACES POPULATION STRUCTURE SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM WHEAT

Genetic diversity and genome-wide association study for the phenology response of winter wheats of North America, Western Asia, and Europe

Susanne Dreisigacker Marta Lopes Miguel Sanchez-Garcia (2023, [Artículo])

Winter Wheat Panel Precision Phenology Effective Markers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC DIVERSITY (AS RESOURCE) GENOME-WIDE ASSOCIATION STUDIES PHENOLOGY PHOTOPERIODICITY POPULATION STRUCTURE VERNALIZATION WINTER WHEAT

Genetic diversity and population structure of African sorghum (sorghum bicolor L. moench) accessions assessed through single nucleotide polymorphisms markers

Hussein Shimelis Baloua Nébié Chris Ojiewo Abhishek Rathore (2023, [Artículo])

Heterotic Grouping Breeding Population Development Marker-Assisted Cultivar Development CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA POPULATION STRUCTURE GENE FLOW SINGLE NUCLEOTIDE POLYMORPHISMS SORGHUM BICOLOR BREEDING PROGRAMMES

Testing innovations for adoption of newer and more adapted maize varieties

Michael Ndegwa Pieter Rutsaert Jason Donovan Jordan Chamberlin (2023, [Objeto de congreso])

Changing Production Conditions Genetic Innovations Maize Hybrids CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TESTING MAIZE VARIETIES YIELDS FARMERS EXPERIMENTATION

Phenotypic assessment of genetic gain from selection for improved drought tolerance in semi-tropical maize populations

Terence Molnar Somak Dutta Thanda Dhliwayo Samuel Trachsel Michael Lee (2023, [Artículo])

Drought Tolerant Population Topcross Water Deficit CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DROUGHT TOLERANCE WATER MAIZE CLIMATE CHANGE GENETIC GAIN

Relocation of Sr48 to chromosome 2D using an alternative mapping population and development of a closely linked marker using diverse molecular technologies

Naeela Qureshi Mandeep Randhawa Peng Zhang Urmil Bansal Harbans Bariana (2023, [Artículo])

Fluorescent in Situ Hybridization Genomic in Situ Hybridization Ug99 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION STEM RUST TRANSLOCATION WHEAT

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS