Analyze Production Potential of Several Local Upland Rice Lines | Chapter 8 | Research Advances and Challenges in Agricultural Sciences Vol. 9

 Extreme weather events like excessive heat, heavy rain, and drought are brought on by climate change and result in global warming. Climate change affects agricultural production, notably rice crops, and results in harsh weather. Because it is becoming harder to utilize the area of paddy fields, one effort that can be made to boost the national food supply is by improving and expanding the upland rice farming area. This study aimed to analyze and ascertain the upland rice lines in the area's production potential. The study was carried out on agricultural land in Tamarenja Village (Kalama backwoods), Central Sulawesi Province, about 200 meters above sea level, with latitudes of 00o26'51.5" South Latitude and 119o49'50.6" East Longitude. They began in August 2022 and continued through February 2023. Fifteen strains or varieties of upland rice were used in the study's Randomized Block Design (RBD), which was repeated three times to create 45 trial plots. These strains or varieties included Untad I, Untad II, Untad III, Untad V, Uva Buya, Kalendeng, Pulu Tau Leru, Jahara, Buncaili, Delima, Dongan, Konta Island, Tako, and Situ Bagendit. Plant height, leaf length, tiller number, productive tiller number, panicle length, number of grains/panicles, harvest age, the weight of 1000 grains, and production were among the variables recorded. The collected data was analyzed using analysis of variance. Test results Least Significant Difference (LSD) of 5% indicated that all the lines used had higher plant height than the control (situ bagendit). The findings demonstrated that the Tako, Dongan, Pulu Tau Leru, Uva Buya, and Kalendeng strains produced better yields compared to the control variety.

 

Author(s)details:-

 

Sakka Samudin
Faculty of Agriculture, University of Tadulako, Indonesia.

 

Mustamin
Tadulako University, Indonesia.

 

Maemunah
Faculty of Agriculture, University of Tadulako, Indonesia.

 

Please See the book here :-  https://doi.org/10.9734/bpi/racas/v9/102

Relationship between Rainfall Variability and Millet (Pennisetum americanum L.) and Sorghum (Sorghum bicolor (L) moench.) Yields in the Sudan Savanna Ecological Zone of Nigeria: A Modelling Approach | Chapter 5 | Cutting-edge Research in Agricultural Sciences Vol. 10

 The purpose of this study is to investigate the relationship between rainfall variability parameters and millet (Pennisetum americanum L.) and sorghum (Sorghum bicolor (L) moench.) yields in Nigeria's Sudan Savanna ecological zone. Daily rainfall, millet, and sorghum yield data collected by nearby stations between 1981 and 2010 were used as input in the model. It aims to create a model that can predict millet and sorghum yields based on rainfall data. The following analytical tools were used to develop and test the model's performance: ogive of cumulative pentad rainfall, product - Stepwise multiple regression analysis, moment correlation coefficient (r), and coefficient of determination (R2). Four yield forecast models were developed as a result of the research: three for millet in Kano, Katsina, and Potiskum, and one for sorghum in Potiskum. Assuming the best-fitted yield forecast models, the model accounted for 61.7 percent of the variation in millet yield related to total yearly rainfall and 68.1 percent of the variation in sorghum yield related to total rainfall in May. The 38.3 percent unaccounted variation in millet yield and 31.9 percent variation in sorghum yield suggest that other factors may influence the yield variability of the two crops.

Author (s) Details

Dr. Haruna Saleh
Department of Geography, Umaru Musa Yar`adua University, Katsina State, Nigeria.

Dr. Tasi’u Yalwa Rilwanu
Department of Geography, Bayero University, Kano, Nigeria.

View Book :- https://stm.bookpi.org/CRAS-V10/article/view/1562