Laborte AG - Search Results

1

Spectral signature generalization and expansion can improve the accuracy of satellite image classification.

Laborte AG, Maunahan AA, Hijmans RJ. Laborte AG, et al. PLoS One. 2010 May 6;5(5):e10516. doi: 10.1371/journal.pone.0010516. PLoS One. 2010. PMID: 20463895 Free PMC article.

2

RiceAtlas, a spatial database of global rice calendars and production.

Laborte AG, Gutierrez MA, Balanza JG, Saito K, Zwart SJ, Boschetti M, Murty MVR, Villano L, Aunario JK, Reinke R, Koo J, Hijmans RJ, Nelson A. Laborte AG, et al. Sci Data. 2017 May 30;4:170074. doi: 10.1038/sdata.2017.74. Sci Data. 2017. PMID: 28556827 Free PMC article.

3

Diversity of global rice markets and the science required for consumer-targeted rice breeding.

Calingacion M, Laborte A, Nelson A, Resurreccion A, Concepcion JC, Daygon VD, Mumm R, Reinke R, Dipti S, Bassinello PZ, Manful J, Sophany S, Lara KC, Bao J, Xie L, Loaiza K, El-hissewy A, Gayin J, Sharma N, Rajeswari S, Manonmani S, Rani NS, Kota S, Indrasari SD, Habibi F, Hosseini M, Tavasoli F, Suzuki K, Umemoto T, Boualaphanh C, Lee HH, Hung YP, Ramli A, Aung PP, Ahmad R, Wattoo JI, Bandonill E, Romero M, Brites CM, Hafeel R, Lur HS, Cheaupun K, Jongdee S, Blanco P, Bryant R, Thi Lang N, Hall RD, Fitzgerald M. Calingacion M, et al. PLoS One. 2014 Jan 14;9(1):e85106. doi: 10.1371/journal.pone.0085106. eCollection 2014. PLoS One. 2014. PMID: 24454799 Free PMC article.

4

Farmers' Preference for Rice Traits: Insights from Farm Surveys in Central Luzon, Philippines, 1966-2012.

Laborte AG, Paguirigan NC, Moya PF, Nelson A, Sparks AH, Gregorio GB. Laborte AG, et al. PLoS One. 2015 Aug 28;10(8):e0136562. doi: 10.1371/journal.pone.0136562. eCollection 2015. PLoS One. 2015. PMID: 26317505 Free PMC article.

5

Rice quality: How is it defined by consumers, industry, food scientists, and geneticists?

Custodio MC, Cuevas RP, Ynion J, Laborte AG, Velasco ML, Demont M. Custodio MC, et al. Among authors: laborte ag. Trends Food Sci Technol. 2019 Oct;92:122-137. doi: 10.1016/j.tifs.2019.07.039. Trends Food Sci Technol. 2019. PMID: 31787805 Free PMC article. Review.

6

Helping feed the world with rice innovations: CGIAR research adoption and socioeconomic impact on farmers.

Mishra AK, Pede VO, Arouna A, Labarta R, Andrade R, Veettil PC, Bhandari H, Laborte AG, Balie J, Bouman B. Mishra AK, et al. Among authors: laborte ag. Glob Food Sec. 2022 Jun;33:100628. doi: 10.1016/j.gfs.2022.100628. Glob Food Sec. 2022. PMID: 35784265 Free PMC article.

7

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy.

Silva JV, Heerwaarden JV, Reidsma P, Laborte AG, Tesfaye K, Ittersum MKV. Silva JV, et al. Among authors: laborte ag. Field Crops Res. 2023 Oct 15;302:109063. doi: 10.1016/j.fcr.2023.109063. Field Crops Res. 2023. PMID: 37840838 Free PMC article.

8

Southeast Asia must narrow down the yield gap to continue to be a major rice bowl.

Yuan S, Stuart AM, Laborte AG, Rattalino Edreira JI, Dobermann A, Kien LVN, Thúy LT, Paothong K, Traesang P, Tint KM, San SS, Villafuerte MQ 2nd, Quicho ED, Pame ARP, Then R, Flor RJ, Thon N, Agus F, Agustiani N, Deng N, Li T, Grassini P. Yuan S, et al. Among authors: laborte ag. Nat Food. 2022 Mar;3(3):217-226. doi: 10.1038/s43016-022-00477-z. Epub 2022 Mar 24. Nat Food. 2022. PMID: 37117641

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