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Philippine Journal of Crop Science ; 48(1):1-8, 2023.
Article in English | CAB Abstracts | ID: covidwho-2322265


This paper presents the evaluation results of the yield target setting precision of the revised MOET App (v.2.0), following the inclusion of the correction factors generated from rice biomass correlations between MOET and nutrient omission plot setups obtained from 2017 to 2018. The project started with trainings on MOET kit and MOET App use for the seed production personnel across PhilRice stations in Nueva Ecija, Negros, Bukidnon and Agusan in 2018 DS. Included in the trainings were the establishment of MOET kit tests and generation of variety- and site-specific recommendations via the MOET App for several nationally or regionally recommended varieties (NSIC Rc 122, 160, 216, 218, 222, 238, 286, 300, 358, 402, 436, 440, 442, 480, PSB Rc18 and PSB Rc82) that each PhilRice station intended to produce in the succeeding 4 cropping periods from 2019 to 2020. Relative yield advantages and economic benefits from using the MOET App fertilizer recommendations over PhilRice' current fertilizer management in seed production per station were monitored every cropping while the precision evaluation of yield target setting was done after the last cropping of 2020 WS. In 2019, relative yield advantages averaged 0.43t ha-1 in DS and 0.25t ha-1 in WS. In 2020 DS, an average relative yield advantage of 0.63t ha-1 was obtained across stations and 0.93t ha-1 in 2020 WS in Nueva Ecija only due to travel restrictions brought about by the COVID-19 pandemic. Economic benefits of using the MOET App showed an average of 0.50t ha-1 and 0.65t ha-1 yield increase over the seed production units' fertilizer management in DS and WS, respectively. While savings in fertilizer cost were better realized during the WS at an average of Php 4,126.34 ha-1 season-1 across stations. Results of the precision evaluation of the yield target showed marked improvements with a 95.24% probability of achieving 17% higher grain yields than the target set by MOET App v.2.0. However, the overall normalized Root Mean Square Error (nRMSE) of 38.14% exceeded the range for a fairly acceptable fit with the model due to large gaps between target and actual yields obtained from DS field trials.

IOP Conference Series. Earth and Environmental Science ; 1172(1):012009, 2023.
Article in English | ProQuest Central | ID: covidwho-2326933


The agricultural sector must receive serious attention today since it faces many challenges such as the small size of land ownership and the low interest of the younger generation for doing this business. Various efforts have been made, including the agricultural technology park program and other programs for increasing production and farmer welfare. All those agricultural programs need to be supported by technology and model to get properly development. This study aims to increase the productivity and income of farmers in the agricultural development area. The research activities include potentials and problems of farm identification by a Forum Group Discussion and research implementation using a factorial randomized completely block design with four new high yield varieties and one existing variety. The results showed that farmers were very enthusiastic and responsive to the use of new high yield varieties which combined with Jajar Legowo Super technology. The highest yields in the first and second planting season were consistently reached by Inpari 30 variety. It was carried out both in Batui and South Batui District and there was an increase in production around 1.7-2 t/ha. Crop yields and farmers' incomes have increased. The guidance and assistance for farmer groups has not shown best results, however, collaboration between the breeder group and the off taker (PT Pertani) has been formed, while the development of premium rice has not been optimally implemented due to the COVID-19 pandemic.

International Journal of Food Science and Agriculture ; 6(2):169-174, 2022.
Article in English | CAB Abstracts | ID: covidwho-2319232
Food and Energy Security ; 12(2), 2023.
Article in English | ProQuest Central | ID: covidwho-2247707
Indian Journal of Agricultural Research ; 57(1):1-7, 2023.
Article in English | Scopus | ID: covidwho-2284909
Proceedings of the Annual Congress South African Sugar Technologists' Association ; 94:1-20, 2022.
Article in English | CAB Abstracts | ID: covidwho-2281772
Georgofili ; 18(Supplemento 2):34-37, 2021.
Article in Italian | CAB Abstracts | ID: covidwho-2277073
Georgofili ; 18(Supplemento 2):139-148, 2021.
Article in Italian | CAB Abstracts | ID: covidwho-2219052
Alexandria Science Exchange Journal ; 43(3):725-749, 2022.
Article in Arabic | CAB Abstracts | ID: covidwho-2204948
Scientific Papers Series B, Horticulture ; 66(1):397-408, 2022.
Article in English | CAB Abstracts | ID: covidwho-2111874
Carpathian Journal of Food Science and Technology ; 14(3):102-115, 2022.
Article in English | Web of Science | ID: covidwho-2082377
Iranian Journal of Field Crops Research ; 20(3), 2022.
Article in Persian | CAB Abstracts | ID: covidwho-2040588
Journal of Ecological Engineering ; 23(10):1-10, 2022.
Article in English | Scopus | ID: covidwho-2030337
15. ; 2021.
Article in English | ProQuest Central | ID: covidwho-1998688
16. ; 2020.
Article in English | ProQuest Central | ID: covidwho-1998478
Electronic International Fertilizer Correspondent ; 66:12-28, 2022.
Article in English | CAB Abstracts | ID: covidwho-1918996
Proceedings of the Annual Congress South African Sugar Technologists' Association ; 94:1-23, 2021.
Article in English | CAB Abstracts | ID: covidwho-1904830