Growth-yield performances and partial economic analysis of sugarcane under different planting methods

Sugarcane (Saccharum spp.) is an important tropical crop around the world, involving in Indonesia, however low productivity is still problem for it. The study was aimed to investigate effect of different planting methods on improving cane growth-yield performances and their partial economic analysis. The study was conducted at Gedangdowo, Jepon, Blora District, Central Java, Indonesia from 2015-2017 at initial planting (IP) to sugarcane ratoon SR-1 and SR-2. Material used was qualified seeds of PS.862 variety. Three planting methods were tested: 1) double trench system (DTS) with 50 cm distance between trench and 135 cm distance between double trenches; 2) single trench system (STS) with 120 cm distance of canter to center (CTC) and 3) STS with 110 cm distance of CTC. The experiment was arranged in randomized complete block design (RCBD) with 6 replications. Results of the study revealed that DTS 50/135 was the most appropriate planting method inducing higher cane productivity up to 129.12 t/ha in IP, then increased up to 134.1 t/ha in SR-1 and declined down to 114.1 t/ha in SR-2. Percentage of cane productivity in DTS 50/135 increased up to 40.8% in IP, 51.1% in SR-1 and 64.6% in SR-2. Higher R/C ratio up to 1.99 and 1.94 was performed by STS 120 followed by DTS 50/135. Increasing R/C ratio noted in STS 120 and DTS 50/135 was 18.3 and 21.3%, respectively on SR-1 compared to STS 110. The planting method can be applied to improve sugarcane productivity and its R/C ratio for other varieties.

Organic Manures and Industrial by-Products Influence the Yield Attributes and Yield of Sugarcane

A field experiment was conducted to evaluate the effect of organic manures and industrial by-products on cane productivity. The soil type of experimental site was sandy loam. The treatments consisted of T1 – Seasoned pressmud @ 25 t ha-1, T2 – T1 + Lignite flyash @ 25 t ha-1, T3 – T1 + Vermicompost @ 5 t ha-1, T4 – Vermicompost @ 5 t ha-1 + Lignite flyash @ 25 t ha-1, T5 – Biocompost @ 5 t ha-1, T6 – T5 + Lignite flyash @ 25 t ha-1, T7 – FYM @ 10 t ha-1, T8 – NPK alone (RDF). The results revealed that yield attributes and cane yield improved in addition of organic manures and industrial by-products. The addition of integrating Vermicompost @ 5 t ha-1 + Seasoned Pressmud @ 25 t ha-1 along with RDF (T3) significantly recorded yield attributes of (125.83 ´ 1000) of millable cane ha-1, 2.57 cm of cane girth, 27.82 internodes cane-1, 1.37 kg of individual cane weight and cane yield of 165.18 t ha-1. It was observed that vermicompost, seasoned pressmud and chemical fertilizers enhanced yield attributes and yield of sugarcane.

Strategi Pengembangan Perdesaan Berbasis Tanaman Industri di Kabupaten Takalar, Provinsi Sulawesi Selatan

This study aims to determine the level of development and strategies for rural development based on industrial plants. This study uses primary and secondary data in the form of village potential data, supporting facilities, population numbers, accessibility, service facilities, institutions, disasters, and infectious diseases. Rural development based on industrial plants in Takalar District is spread in most rural areas. Industry with leading commodity of sugar cane is expected to be the spearhead of village development. However, based on BPS data, there was a decrease in sugar cane productivity during 2012–2016. The result of the analysis shows that the level of rural development based on industrial plants in North Polombangkeng district was higher than that South Polombangkeng district. It can be seen from the result of the scoring analysis which shows that two villages namely Palleko village and Massamaturu village, each weights 75 and 74, are located in North Polombangkeng district. This study recommends that in balancing the level of village development based on sugarcane plants, the local government and private sector should improve infrastructure and human resources as a whole.

Learning curves for the modeling of sugar cane productivity

Predicting the final yield of a crop is one of the most important aspects of a mill's agricultural planning. However, numerous factors must be considered to ensure a realistic forecast. Data mining techniques are capable of generating models that predict these values by relating a large amount of data. In this project, we studied learning curves, a tool used in the analysis of a model's performance according to the amount of data available. In an analysis of a database for a sugarcane production, we compared three different modeling techniques, suitable for regression models in the prediction of the final productivity.

Pertumbuhan dan Produktivitas Tebu pada Beberapa Paket Tata Tanam di Lahan Kering

ABSTRACT<br /><br />The increasing demand on sugar and increasing land competition among agriculture comodities, urges improving sugar production through intensification programs. Planting arrangement was one of the intensification programs to increase sugar production. Hence the objective of the experiment was to evaluate planting arrangement in order to produce higher sugar yield. Research was carried out in Muktiharjo Research Station, Pati in January to October 2013 for plant cane (PC) and November 2013 to October 2014 for first ratoon cane (RC-1). Five packages of planting arrangement was evaluated in this study, they were (1) a single row CTC (distance inter row = from center to center) 110 cm + single seed, (2) single row CTC 130 cm + single seed, (3) double row CTC 50/135 cm + single seed, (4) double row CTC 50/170 cm + double seeds and (5) double row CTC 50/210 cm + double seeds, arranged in a randomized block design with three replications. A double row CTC 50/170 cm + double seeds planting arrangement produced the highest cane productivity, sugar yield and profit, i.e., 191.02 ton ha-1, 15.33 ton ha-1 and IDR 30,654,000,- ha-1, respectively for the PC whereas for the RC-1 was 177.36 ton ha-1, 12.43 ton ha-1, and IDR 30,897,000,- ha-1, respectively.<br /><br />Keywords: Double row, production, Saccharum officinarum, sugar yield

Climate Change and Sugarcane Productivity in India: An Econometric Analysis

This study provides an understanding for the relationship between climatic factors and sugarcane productivity in India. The main objective of this paper is to estimates the impact of climatic and non-climatic factors on sugarcane productivity. To check the consistency of empirical results, simple linear regression model, Ricardian productivity regression (non-linear) model and Cobb-Douglas production function models are employed. The data set incorporates 390 observations corresponding to thirteen states with panel data for 30 years during 1980 to 2009. These all models include sugarcane productivity as dependent variable. Irrigated area, agriculture labour, consumption of fertilizers, literacy rate, tractors and farm harvest price (at constant level) are considered as explanatory variables. Average rainfall, average maximum and average minimum temperature include as climatic factors to capture the effect of climatic conditions on cane productivity. These climatic factors are incorporate for three weather seasons such as rainy, winter and summer. Empirical results based on Prais Winsten models with panels corrected standard errors (PCSEs) estimation shows that climatic factors i.e. actual rainfall, average maximum and average minimum temperature have a statistically significant impact on sugarcane productivity. The climatic effect for various factors on cane productivity are varies within different seasons. Average maximum temperature in summer and average minimum temperature in rainy season have a negative and statistically significant effect on sugarcane productivity. While, sugarcane productivity positively get affect with increasing average maximum temperature in rainy season and winter seasons. The study concluded that there is non-linear relationship between climatic factors and sugarcane productivity in India.

A Gis Approach Using Remote Sensing Derived Products for Quantification of Sugar Cane Productivity in Brazil

Este estudo teve como objetivo de desenvolver uma metodologia baseada na aplicacao de produtos GEONETCast- EUMETCast para estimativa da produtividade da cana-de-acucar utilizando-se de um modelo agrometeorologicoespectral. O estudo foi desenvolvido no municipio de Coruripe, localizado no estado de Alagoas, Brasil. O teste foi realizado num periodo de cinco meses, abril a agosto, do ano de 2010. Conclui-se que a metodologia utilizada indica ser util para o apoio operacional de estimativa da produtividade da cana-de-acucar, fornecendo valores medios de 37 a 40 t/ha. Palavras-chave: Spot Vegetation, Meteosat-9, Produtividade Safra, Ilwis ABSTRACT This study aimed to develop a GEONETCast-EUMETCast product-based method of estimating the productivity of cane sugar using an agrometeorological-spectral model. The study was carried out in the Municipality of Coruripe, located in the state of Alagoas, Brazil. The test was performed over the period of five months, from April to August of 2010. It was concluded that the methodology is useful for developing estimates of operational support for the cane sugar productivity, providing mean values of 37 to 40 t/ha. Keywords: Spot Vegetation, Meteosat-9, Crop Yield, Ilwis