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AKMM Rahman, Mst. Anamika Amzad, Md. Arifuzzaman, Mst. Saleha Aziza, M. Jahiruddin, Ashutosh Sarker, Md Amir Hossain, Ahmed Khairul Hasan
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‘Determination of critical limit of zinc for lentil (Lens culinaris L.) in diverse soils under intensive cropping systems’
10.12982/nlsc.2023.066 · 2023
10.3390/plants12071463
10.3390/plants12071463
‘Multi-year evaluation of chickpea (Cicer arietinum L.) genotypes for agronomic traits stability using AMMI, GGE biplot, and BLUP under rainfed conditions’
10.1007/s11105-025-01618-x · 2025
‘Adaptation, diversity, and exploitation of global white lupin (Lupinus albus L.) landrace genetic resources’
10.1016/j.fcr.2010.06.022 · 2010
‘Iron biofortification of Myanmar rice’
2013
10.3390/agriculture15242572
10.3390/agriculture15242572
‘Genotype & environment interaction for appraisal of iron and zinc rich stable genotypes in lentil (Lens culinaris Medik.)’
2025
‘Storage temperature and grain moisture effects on market and end use properties of red lentil’
10.3390/agronomy13092261 · 2023
10.1016/b978-0-12-802861-2.00007-9
10.1016/b978-0-12-802861-2.00007-9 · 2018
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
1992
‘Genetic variability and genotype X environment interactions effect on grain iron (Fe) and zinc (Zn) concentration in lentils and their characterization under Terai environments of Nepal’
2020
‘AMMI Biplot analysis for genotype×environment interaction on yield trait of high Fe content lentil genotypes in Terai and Mid-Hill environment of Nepal’
2017
10.3390/molecules26247671
10.3390/molecules26247671
‘Stability parameters for comparing varieties’
10.2135/cropsci1966.0011183x000600010011x · 1966
‘Biometrical approaches for determining stability of some Egyptian lentil cultivars’
2011
‘A simple protocol for AMMI analysis of yield trials’
10.2135/cropsci2013.04.0241 · 2013
‘AMMI analysis of yield trials. Genotype by-environment interaction’
1988
‘Genotype by environment interaction effect on grain iron and zinc concentration of Indian and Mediterranean lentil genotypes’
10.3390/agronomy11091761 · 2021
Unresolved referenced work
2013
10.3390/plants12112079
10.3390/plants12112079
‘Biofortification of food crops: A novel strategy for reducing micronutrient malnutrition’
2020
Unresolved referenced work
Kept as external metadata until matched
10.1002/agg2.70258
10.1002/agg2.70258
10.1016/b978-0-323-99733-1.00009-1
10.1016/b978-0-323-99733-1.00009-1 · 2023
‘The use of biplots in interpreting variety by environment interactions’
10.1017/s0021859600043392 · 1984
‘Phenotypic and genetic variability and genetic divergence in lentil (Lens culinaris Medik.) germplasm’
10.35418/2526-4117/v4n1a5 · 2022
‘Estimation of iron, zinc, phytic acid concentration and protein content in lentil seeds over locations and their marker-trait association analysis’
10.1016/j.jfca.2024.105999 · 2024
Unresolved referenced work
1979
‘Genetic variability, G× E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines’
10.1016/j.jcs.2023.103653 · 2023
‘Immune function and micronutrient requirements change over the life course’
10.3390/nu10101531 · 2018
‘Inter-block information: To recover or not to recover it?’
10.1007/s00122-015-2530-0 · 2015
‘Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses’
10.1016/j.heliyon.2024.e32918 · 2024
‘Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) for analyzing the agronomic performance of corn’
10.5897/ajar2016.11691 · 2016
‘Evaluation of seed yield stability of lentil genotypes based on REML/BLUP and Multi-Trait Stability Index (MTSI)’
10.61186/jcb.16.2.42 · 2024
‘BLUP for phenotypic selection in plant breeding and variety testing’
10.1007/s10681-007-9449-8 · 2008
10.1186/s42269-022-00703-5
10.1186/s42269-022-00703-5
Unresolved referenced work
2025
‘Selenium biofortification in lentil (Lens culinaris Medikus subsp. culinaris): Farmers’ field survey and genotype × environment effect’
10.1016/j.foodres.2013.09.008 · 2013
10.25174/2582-2675/2023,135631
10.25174/2582-2675/2023,135631 · doi-reference
10.1136/bmj.k2238
10.1136/bmj.k2238 · doi-reference
10.1016/b978-0-12-812104-7.00017-4
10.1016/b978-0-12-812104-7.00017-4 · doi-reference
‘The potential of lentil (Lens culinaris L.) as a whole food for increased selenium, iron, and zinc intake: Preliminary results from a 3 year study’
10.1007/s10681-011-0365-6 · doi-reference
‘A global survey of effects of genotype and environment on selenium concentration in lentils (Lens culinaris L.): Implications for nutritional fortification strategies’
10.1016/j.foodchem.2010.08.038 · doi-reference
‘Phytic acid and Fe and Zn concentration in lentil (Lens culinaris L.) seeds is influenced by temperature during seed filling period’
10.1016/j.foodchem.2010.02.073 · doi-reference
‘AMMI analysis for grain yield stability in lentil genotypes tested in the highlands of Bale, southeastern Ethiopia’
10.11648/j.jps.20210901.12 · doi-reference
‘The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches’
10.1017/s0021859605005587 · doi-reference
‘Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris)’
10.1371/journal.pone.0188296 · doi-reference
10.1007/s42729-020-00216-y
10.1007/s42729-020-00216-y · doi-reference
10.3389/fpls.2024.1293831
10.3389/fpls.2024.1293831 · doi-reference
‘Selenium biofortification in lentil (Lens culinaris Medikus subsp. culinaris): Farmers’ field survey and genotype × environment effect’
10.1016/j.foodres.2013.09.008 · doi-reference
10.1186/s42269-022-00703-5
10.1186/s42269-022-00703-5 · doi-reference
‘BLUP for phenotypic selection in plant breeding and variety testing’
10.1007/s10681-007-9449-8 · doi-reference
‘Evaluation of seed yield stability of lentil genotypes based on REML/BLUP and Multi-Trait Stability Index (MTSI)’
10.61186/jcb.16.2.42 · doi-reference
‘Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) for analyzing the agronomic performance of corn’
10.5897/ajar2016.11691 · doi-reference
‘Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses’
10.1016/j.heliyon.2024.e32918 · doi-reference
‘Inter-block information: To recover or not to recover it?’
10.1007/s00122-015-2530-0 · doi-reference
‘Immune function and micronutrient requirements change over the life course’
10.3390/nu10101531 · doi-reference
‘Genetic variability, G× E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines’
10.1016/j.jcs.2023.103653 · doi-reference
‘Estimation of iron, zinc, phytic acid concentration and protein content in lentil seeds over locations and their marker-trait association analysis’
10.1016/j.jfca.2024.105999 · doi-reference
‘Phenotypic and genetic variability and genetic divergence in lentil (Lens culinaris Medik.) germplasm’
10.35418/2526-4117/v4n1a5 · doi-reference
‘The use of biplots in interpreting variety by environment interactions’
10.1017/s0021859600043392 · doi-reference
10.1016/b978-0-323-99733-1.00009-1
10.1016/b978-0-323-99733-1.00009-1 · doi-reference
10.1002/agg2.70258
10.1002/agg2.70258 · doi-reference
10.3390/plants12112079
10.3390/plants12112079 · doi-reference
‘Genotype by environment interaction effect on grain iron and zinc concentration of Indian and Mediterranean lentil genotypes’
10.3390/agronomy11091761 · doi-reference
‘A simple protocol for AMMI analysis of yield trials’
10.2135/cropsci2013.04.0241 · doi-reference
‘Stability parameters for comparing varieties’
10.2135/cropsci1966.0011183x000600010011x · doi-reference
10.3390/molecules26247671
10.3390/molecules26247671 · doi-reference
10.1016/b978-0-12-802861-2.00007-9
10.1016/b978-0-12-802861-2.00007-9 · doi-reference
‘Storage temperature and grain moisture effects on market and end use properties of red lentil’
10.3390/agronomy13092261 · doi-reference
10.3390/agriculture15242572
10.3390/agriculture15242572 · doi-reference
‘Adaptation, diversity, and exploitation of global white lupin (Lupinus albus L.) landrace genetic resources’
10.1016/j.fcr.2010.06.022 · doi-reference
‘Multi-year evaluation of chickpea (Cicer arietinum L.) genotypes for agronomic traits stability using AMMI, GGE biplot, and BLUP under rainfed conditions’
10.1007/s11105-025-01618-x · doi-reference
10.3390/plants12071463
10.3390/plants12071463 · doi-reference
‘Determination of critical limit of zinc for lentil (Lens culinaris L.) in diverse soils under intensive cropping systems’
10.12982/nlsc.2023.066 · doi-reference