Factors affecting rice yield productivity in tidal swamp of South Sumatra

Iron toxicity is a factor causing low rice yield on tidal swamp land (TSL).Soil quality improvement by using water management, organic matter and introducing adaptable varietywere some options to increaseits productivity in the soils. Field experiment was conducted to evaluate effects of applying water management, organic matter and adaptable variety to increase its productivity on a TSL of KP Belandean, Barito Kuala District of South Kalimantan, during dry season of 2010. The research was arranged in a split-split-plot design with three replicates. The main plots were two water management, i.e: P0 = without water management (control) and P1= intermittent water management, while sub plots were three organic matter application, i.e: B0 = without organic matter application (control), B1 = straw compost 3 t/ha, B2 = manure 2 t/ha, and sub sub plots were five rice varieties, i.e. V1 = Mekongga, V2 = Inpari 1, V3 = Ciherang, V4 = Silugonggo and V5 = Margasari. The result showed that there was interaction between water management and variety tested on rice yield in TSL. The highest yield was reached by Inpari 1 variety which treatment intermitten water management, with yield i.e. 5.390 t/ ha.Silugonggo and Ciherang was not suitable to cultivate on TSL. The implication of this research was variety recomendation on a tidal swamp land, i.e. Inpari 1 variety and intermitten water management.

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Identification of factors affecting rice yield gap in southwest China: An experimental study

PLoS ONE ◽

10.1371/journal.pone.0206479 ◽

2018 ◽

Vol 13 (11) ◽

pp. e0206479

Author(s):

Yuanyuan Ran ◽

Hui Chen ◽

Dinglun Ruan ◽

Hongbin Liu ◽

Shuai Wang ◽

...

Keyword(s):

Experimental Study ◽

Southwest China ◽

Rice Yield ◽

Yield Gap ◽

Factors Affecting

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Factors affecting differences in the rainy season rice yield in a lowland area of a mountainous village in Lao PDR

Paddy and Water Environment ◽

10.1007/s10333-015-0504-0 ◽

2015 ◽

Vol 14 (2) ◽

pp. 343-353 ◽

Cited By ~ 3

Author(s):

Hiroshi Ikeura ◽

Sengthong Phongchanmixay ◽

Salermphon Phonsangone ◽

Phetyasone Xaypanya ◽

Somphone Inkhamseng ◽

...

Keyword(s):

Rainy Season ◽

Rice Yield ◽

Lao Pdr ◽

Factors Affecting ◽

Lowland Area

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Analysis of the Rice Yield under an Agrivoltaic System: A Case Study in Japan

Environments ◽

10.3390/environments8070065 ◽

2021 ◽

Vol 8 (7) ◽

pp. 65

Author(s):

Ruth Anne Gonocruz ◽

Ren Nakamura ◽

Kota Yoshino ◽

Masaru Homma ◽

Tetsuya Doi ◽

...

Keyword(s):

Land Use ◽

Solar Radiation ◽

Rice Yield ◽

Fertilizer Application ◽

Agricultural Crops ◽

Factors Affecting ◽

Photovoltaic Panels ◽

System A ◽

Upper Limit

Agrivoltaic systems, comprising photovoltaic panels placed over agricultural crops, have recently gained increasing attention. Emerging interest in these systems led us to investigate their influence on rice crops. Various factors affecting rice crop yield, including fertilizer application, temperature, and solar radiation, were directly observed, and measured to evaluate changes associated with the shading rates of photovoltaic systems installed above rice crops. The results suggest that the allowable upper limit of the shading rate for agrivoltaic installations ranges from 27 to 39%, which sustains at least 80% of the rice yield, a condition set by the Japanese Ministry of Agriculture, Forestry and Fisheries for these systems. If such systems are applied to rice paddies in Japan at 28% density, they could generate 284 million MWh/yr. This is equivalent to approximately 29% of the total Japanese electricity demand, based on 2018 calculations. This projection indicates the potential of agrivoltaic systems for efficient land use and sustainable energy generation.

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Factors Affecting the Slope of Head Rice Yield vs. Degree of Milling

Cereal Chemistry ◽

10.1094/cchem.1998.75.5.738 ◽

1998 ◽

Vol 75 (5) ◽

pp. 738-741 ◽

Cited By ~ 20

Author(s):

J. D. Reid ◽

T. J. Siebenmorgen ◽

A. Mauromoustakos

Keyword(s):

Rice Yield ◽

Factors Affecting ◽

Head Rice ◽

Degree Of Milling ◽

Head Rice Yield

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Technical efficiency of rice production in terai district of Nepal

Journal of Agriculture and Natural Resources ◽

10.3126/janr.v3i2.32301 ◽

2020 ◽

Vol 3 (2) ◽

pp. 32-44

Author(s):

Sanjiv Subedi ◽

Yuga Nath Ghimire ◽

Meena Kharel ◽

Surya Prasad Adhikari ◽

Jiban Shrestha ◽

...

Keyword(s):

Technical Efficiency ◽

Rice Yield ◽

Stochastic Frontier ◽

Structured Interview ◽

Rice Production ◽

Stochastic Production Frontier ◽

Tobit Regression ◽

Sampling Frame ◽

Factors Affecting ◽

Secondary Information

This paper aimed to estimate the technical efficiency of rice production, also identifying the factors affecting technical efficiency. Jhapa, the Terai district of Nepal, having the highest rice production in the country, was purposely selected for the study. The primary information was collected from 100 rice growing farmers, randomly selected from the sampling frame, using the pre-tested semi-structured interview schedule. Also, two Key Informant Surveys were done. Besides, the secondary information was collected by reviewing the related literatures. Descriptive statistics, stochastic frontier model with Cobb-Douglas production function, and tobit model were used for data analysis. The stochastic production frontier model revealed that with the increase in seed, chemical fertilizer, human labor, and tractor power by 1 percent, the rice yield increases by 0.25 (P<0.05), 0.15 (P<0.01), 0.13 (P<0.05) and 0.21 (P<0.01) percent respectively. The average technical efficiency of the rice growing farmers in the study area was estimated 92%; in addition, majority of the farmers (62%) were operating at an efficiency level of 0.91- 0.95 followed by 32% at 0.86- 0.90. The tobit regression model revealed that farming experience (P<0.01), membership of the organization (P<0.01), and major occupation being agriculture (P<0.05) have statistically significant and positive on technical efficiency; while, schooling years (P<0.05) and number of economically active family members (P<0.05) have statistically significant but negative effect. There is still scope to increase the rice yield through efficient use of available resources with existing technologies.

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Analisis Pergeseran Sumber Pendapatan Petani Transmigran Di Lahan Pasang Surut (STUDI KASUS DI KABUPATEN INDRAGIRI HILIR RIAU)

Agro Ekonomi ◽

10.22146/agroekonomi.16784 ◽

2016 ◽

Vol 10 (2) ◽

pp. 49

Author(s):

Teguh Hari Santosa ◽

Sri Widodo ◽

Masyhuri Masyhuri ◽

Irham Irham

Keyword(s):

Research Area ◽

Cropping Pattern ◽

Food Crop ◽

Land Productivity ◽

Income Source ◽

Factors Affecting ◽

Tidal Swamp ◽

Farmer Education ◽

Household Labour ◽

Estate Crop

Shifting of income source transmigrant farmer in the tidal swamp from rice and palawija to non-rice happened for along time in some resettlement location in Indonesia.This ferwmenon began in 1975, in Centre Kalimantan, South Kalimantan, Jambi, South Sumatera and Riau. This problem related with constraints of low land productivity, limited labour and some problem about pests of crop. The effort of transmigrant farmer was: (1) to change some kinds of crops and cropping pattern; (2) out of tidal swamp area orientation (non farmadditional income).The objective. of this research is (1) to identify the shifting of income source of tidal swamp transmigrant farmer in Indragiri Hilir regency; (2) to analyze factors affecting the shift of the source of income in the tidal swamp.The research area is in the Indragiri Hilir regency where two districts were purposively taken and two villages from recorde data from various institution.The, Result is (1) there are shifting of income source of tidal swamp transmigrant farmer in Indragiri' Hilir, from food crop (95,63 % on 1975) to estate 'crop (53,96 % on 2002). The shifting began since 1993 and continued up to 2002; (2) Factors to influencing the source of income of estate crop is capital, farmer education, wife education, household labour, used fertilizer (TSP, KC1), lime, herbicide, pesticide and transmigrant group.Factors influencing the source of income of food crop is farmer education, household labour, used fertilizer (TSP, Ka) and pesticide.

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Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100078614 ◽

1977 ◽

Vol 35 ◽

pp. 214-217

Author(s):

F. A. Heckman ◽

E. Redman ◽

J.E. Connolly

Keyword(s):

Image Analysis ◽

Image Quality ◽

Exposure Time ◽

Image Contrast ◽

Automated Image Analysis ◽

Practical Application ◽

Factors Affecting ◽

High Image Quality ◽

Qualitative Evidence ◽

Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

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