247 related articles for article (PubMed ID: 32201942)
1. Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).
Hacisalihoglu G; Freeman J; Armstrong PR; Seabourn BW; Porter LD; Settles AM; Gustin JL
J Sci Food Agric; 2020 Jun; 100(8):3488-3497. PubMed ID: 32201942
[TBL] [Abstract][Full Text] [Related]
2. Near-infrared spectroscopic models for analysis of winter pea (Pisum sativum L.) quality constituents.
Saha U; Vann RA; Chris Reberg-Horton S; Castillo MS; Mirsky SB; McGee RJ; Sonon L
J Sci Food Agric; 2018 Aug; 98(11):4253-4267. PubMed ID: 29424423
[TBL] [Abstract][Full Text] [Related]
3. High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy.
Karunakaran C; Vijayan P; Stobbs J; Bamrah RK; Arganosa G; Warkentin TD
Food Chem; 2020 Mar; 309():125585. PubMed ID: 31708344
[TBL] [Abstract][Full Text] [Related]
4. Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (
Quirós Vargas JJ; Zhang C; Smitchger JA; McGee RJ; Sankaran S
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052251
[TBL] [Abstract][Full Text] [Related]
5. Enhanced Single Seed Trait Predictions in Soybean (Glycine max) and Robust Calibration Model Transfer with Near-Infrared Reflectance Spectroscopy.
Hacisalihoglu G; Gustin JL; Louisma J; Armstrong P; Peter GF; Walker AR; Settles AM
J Agric Food Chem; 2016 Feb; 64(5):1079-86. PubMed ID: 26771201
[TBL] [Abstract][Full Text] [Related]
6. Organic dry pea (Pisum sativum L.) biofortification for better human health.
Thavarajah D; Lawrence TJ; Powers SE; Kay J; Thavarajah P; Shipe E; McGee R; Kumar S; Boyles R
PLoS One; 2022; 17(1):e0261109. PubMed ID: 35025919
[TBL] [Abstract][Full Text] [Related]
7. Proteome Map of Pea (
Mamontova T; Lukasheva E; Mavropolo-Stolyarenko G; Proksch C; Bilova T; Kim A; Babakov V; Grishina T; Hoehenwarter W; Medvedev S; Smolikova G; Frolov A
Int J Mol Sci; 2018 Dec; 19(12):. PubMed ID: 30558315
[TBL] [Abstract][Full Text] [Related]
8. Genome-wide SNP identification, linkage map construction and QTL mapping for seed mineral concentrations and contents in pea (Pisum sativum L.).
Ma Y; Coyne CJ; Grusak MA; Mazourek M; Cheng P; Main D; McGee RJ
BMC Plant Biol; 2017 Feb; 17(1):43. PubMed ID: 28193168
[TBL] [Abstract][Full Text] [Related]
9. Genetic control and identification of QTLs associated with visual quality traits of field pea (Pisum sativum L.).
Ubayasena L; Bett K; Tar'an B; Warkentin T
Genome; 2011 Apr; 54(4):261-72. PubMed ID: 21491970
[TBL] [Abstract][Full Text] [Related]
10. Fatty acid profiling of the seed oils of some varieties of field peas (Pisum sativum) by RP-LC/ESI-MS/MS: towards the development of an oilseed pea.
Villalobos Solis MI; Patel A; Orsat V; Singh J; Lefsrud M
Food Chem; 2013 Aug; 139(1-4):986-93. PubMed ID: 23561200
[TBL] [Abstract][Full Text] [Related]
11. Use of near-infrared spectroscopy for the rapid evaluation of soybean [Glycine max (L.) Merri.] water soluble protein content.
Xu R; Hu W; Zhou Y; Zhang X; Xu S; Guo Q; Qi P; Chen L; Yang X; Zhang F; Liu L; Qiu L; Wang J
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jan; 224():117400. PubMed ID: 31437763
[TBL] [Abstract][Full Text] [Related]
12. Non-destructive determination of grass pea and pea flour adulteration in chickpea flour using near-infrared reflectance spectroscopy and chemometrics.
Bala M; Sethi S; Sharma S; Mridula D; Kaur G
J Sci Food Agric; 2023 Feb; 103(3):1294-1302. PubMed ID: 36098480
[TBL] [Abstract][Full Text] [Related]
13. Near-infrared reflectance spectroscopy calibrations for assessment of oil, phenols, glucosinolates and fatty acid content in the intact seeds of oilseed Brassica species.
Sen R; Sharma S; Kaur G; Banga SS
J Sci Food Agric; 2018 Aug; 98(11):4050-4057. PubMed ID: 29385269
[TBL] [Abstract][Full Text] [Related]
14. A calibration transfer optimized single kernel near-infrared spectroscopic method.
Xu Z; Fan S; Liu J; Liu B; Tao L; Wu J; Hu S; Zhao L; Wang Q; Wu Y
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Sep; 220():117098. PubMed ID: 31129498
[TBL] [Abstract][Full Text] [Related]
15. Genetic diversity and trait genomic prediction in a pea diversity panel.
Burstin J; Salloignon P; Chabert-Martinello M; Magnin-Robert JB; Siol M; Jacquin F; Chauveau A; Pont C; Aubert G; Delaitre C; Truntzer C; Duc G
BMC Genomics; 2015 Feb; 16(1):105. PubMed ID: 25765216
[TBL] [Abstract][Full Text] [Related]
16. Determination of Quality Parameters in Mangetout (
García-García MDC; Martín-Expósito E; Font I; Martínez-García BDC; Fernández JA; Valenzuela JL; Gómez P; Río-Celestino MD
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684734
[No Abstract] [Full Text] [Related]
17. Eliminating anti-nutritional plant food proteins: the case of seed protease inhibitors in pea.
Clemente A; Arques MC; Dalmais M; Le Signor C; Chinoy C; Olias R; Rayner T; Isaac PG; Lawson DM; Bendahmane A; Domoney C
PLoS One; 2015; 10(8):e0134634. PubMed ID: 26267859
[TBL] [Abstract][Full Text] [Related]
18. Proteomic analysis of albumin and globulin fractions of pea (Pisum sativum L.) seeds.
Dziuba J; Szerszunowicz I; Nałęcz D; Dziuba M
Acta Sci Pol Technol Aliment; 2014; 13(2):181-90. PubMed ID: 24876313
[TBL] [Abstract][Full Text] [Related]
19. Analysis of moisture, oil, and fatty acid composition of olives by near-infrared spectroscopy: development and validation calibration models.
Saha U; Jackson D
J Sci Food Agric; 2018 Mar; 98(5):1821-1831. PubMed ID: 28873227
[TBL] [Abstract][Full Text] [Related]
20. Characterization of pea (Pisum sativum) seed protein fractions.
Rubio LA; Pérez A; Ruiz R; Guzmán MÁ; Aranda-Olmedo I; Clemente A
J Sci Food Agric; 2014 Jan; 94(2):280-7. PubMed ID: 23744804
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]