Optimizing Income for Vegetable Farming in Puubunga Village Baula District Kolaka Regency

2021 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Devita Pratiwi Hunowu ◽  
Idrus Salam ◽  
Hidrawati Hidrawati
Keyword(s):  
Resource Use ◽  
Growing Season ◽  
Analysis Tool ◽  
Optimal Conditions ◽  
Total Income ◽  
Optimization Analysis ◽  
Scarce Resources ◽  
Optimal Resource ◽  
Vegetable Farming ◽  
Mustard Seeds

This study aims to determine whether the poly-culture of vegetables (mustard greens, spinach, and kale) in Puubunga village has achieved optimal resource use and how much income the farmers use of the resources in optimal conditions. This research was conducted from July to August 2020. Analysis of the data used in this research is the analysis of optimality using the analysis tool Linear Programming POM for Windows 3. Sensitivity analysis is carried out to determine the sensitivity interval between changes in resources without changing the optimal income. The results of the optimization analysis show that resource use is not optimal. The use of land, mustard seeds, urea fertilizer, medicines (Dursban and Gramoxone) and labor is not yet optimal or not fully utilized while their availability is excessive, so it needs to be added or subtracted from the existing supply. The use of spinach seed, kale seeds, and manure are scarce resources because in optimal conditions all supplies are used up. The total income of vegetable farming (mustard greens, spinach, and kale) obtained under optimal conditions is IDR 777.275 per growing season, which is greater than the actual total income of vegetable farming of IDR 672.814 per growing season.

DEA modeling for optimal resource use in rice production

OPSEARCH ◽  
2004 ◽  
Vol 41 (3) ◽  
pp. 148-154
Author(s):  
B. Satpathy ◽  
S. K. Hota
Keyword(s):  
Resource Use ◽  
Rice Production ◽  
Optimal Resource

scholarly journals Temporal Patterns of Sporulation Potential of Phomopsis viticola on Infected Grape Shoots, Canes, and Rachises

Plant Disease ◽  
2012 ◽  
Vol 96 (9) ◽  
pp. 1297-1302 ◽  
Author(s):  
D. J. Anco ◽  
L. V. Madden ◽  
M. A. Ellis
Keyword(s):  
Leaf Spot ◽  
Temporal Pattern ◽  
Growing Season ◽  
First Year ◽  
Bud Break ◽  
Optimal Conditions ◽  
Phomopsis Viticola ◽  
Time Period ◽  
Dormant Season ◽  
Vitis Spp

Phomopsis cane and leaf spot on Vitis spp. (grape) is currently understood to be monocyclic, with primary inoculum only being produced early in the growing season. However, of the few published studies pertaining to sporulation of Phomopsis viticola, none specifically examined rachises, and none were designed to determine when infected tissues become capable of sporulation. The objective of these studies was to determine when grape shoots, canes, and rachises infected with P. viticola develop the capacity to sporulate, and to determine the time period during which those tissues remain capable of sporulation. Starting in 2009 and 2010, infected first-year shoots and rachises were collected biweekly throughout the growing season, into the dormant season, and into the following growing season. Tissues were collected from ‘Catawba,’ ‘Concord,’ and ‘Reliance’ vineyards. Samples were observed for sporulation after 48 h of incubation in a moist chamber at 23°C; the magnitude of the conidia production under these optimal conditions was considered the sporulation potential. For infections that occurred in 2009 and 2010, the production of conidia was not observed until after harvest. In the year following infection, sporulation potential was found from about bud break until shortly after the end of bloom. There was a generally consistent temporal pattern to relative sporulation potential across sampled vineyards, years, and grape tissues (rachises and canes), described by a modified β model, with peak sporulation potential occurring around 16 May. These results confirmed that Phomopsis cane and leaf spot is a monocyclic disease and support control recommendations for use of fungicides in spring.

scholarly journals Relative changes of resource use efficiencies and their responses to environmental factors in Artemisia ordosica during growing season

2019 ◽  
Vol 43 (10) ◽  
pp. 889-898
Author(s):  
Xin-Hao LI ◽  
Hui-Juan YAN ◽  
Teng-Zhou WEI ◽  
Wen-Jun ZHOU ◽  
Xin JIA ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Resource Use ◽  
Growing Season ◽  
Artemisia Ordosica

scholarly journals Functional composition and diversity of leaf traits in subalpine versus alpine vegetation in the Apennines

AoB Plants ◽  
2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Angela Stanisci ◽  
Alessandro Bricca ◽  
Valentina Calabrese ◽  
Maurizio Cutini ◽  
Harald Pauli ◽  
...  
Keyword(s):  
Functional Diversity ◽  
Functional Traits ◽  
Resource Use ◽  
Leaf Traits ◽  
Growing Season ◽  
Plant Functional Traits ◽  
High Mountain ◽  
Maximum Height ◽  
Dry Matter Content ◽  
Functional Composition

Abstract Mediterranean high mountain grasslands are shaped by climatic stress and understanding their functional adaptations can contribute to better understanding ecosystems’ response to global change. The present work analyses the plant functional traits of high-elevation grasslands growing in Mediterranean limestone mountains to explore, at the community level, the presence of different plant strategies for resource use (conservative vs. acquisitive) and functional diversity syndromes (convergent or divergent). Thus, we compared the functional composition and diversity of the above-ground traits related to resource acquisition strategies of subalpine and alpine calcareous grasslands in the central Apennines, a mountain region characterized by a dry-summer Mediterranean climate. We used georeferenced vegetation plots and field-measured plant functional traits (plant maximum height, specific leaf area and leaf dry matter content) for the dominant species of two characteristic vegetation types: the subalpine Sesleria juncifolia community and the alpine Silene acaulis community. Both communities are of particular conservation concern and are rich in endemic species for which plant functional traits are measured here for the first time. We analysed the functional composition and diversity using the community-weighted mean trait index and the functional diversity using Rao’s function, and we assessed how much the observed pattern deviated from a random distribution by calculating the respective standardized effect sizes. The results highlighted that an acquisitive resource use strategy and relatively higher functional diversity of leaf traits prevail in the alpine S. acaulis community, optimizing a rapid carbon gain, which would help overcome the constraints exerted by the short growing season. The divergent functional strategy underlines the co-occurrence of different leaf traits in the alpine grasslands, which shows good adaptation to a microhabitat-rich environment. Conversely, in the subalpine S. juncifolia grassland, a conservative resource use strategy and relatively lower functional diversity of the leaf traits are likely related to a high level resistance to aridity over a longer growing season. Our outcomes indicate the preadaptation strategy of the subalpine S. juncifolia grassland to shift upwards to the alpine zone that will become warmer and drier as a result of anthropogenic climate change.

scholarly journals The growth characteristics of Juniperus excelsa M. Bieb. in the greenhouse conditions of the Southern coast of the Crimea

2020 ◽  
Vol 210 ◽  
pp. 05013
Author(s):  
Andrey Pashtetsky ◽  
Yuri Plugatar ◽  
Oleg Ilnitsky
Keyword(s):  
Growing Season ◽  
Vegetation Period ◽  
Second Phase ◽  
Optimal Conditions ◽  
Southern Coast ◽  
Active Growth ◽  
Trunk Diameter ◽  
Second Growth ◽  
Juniperus Excelsa ◽  
The Crimea

The dependence of the growth intensity of Juniperus excelsa M. Bieb on some environmental factors in the greenhouse conditions of the Southern Coast of the Crimea was studied. Vegetation and trunk diameter growth (d,%) started after March 15. There are two growth peaks: the first growth peak (15.03.–27.07.) led to an increase in d,% by 7.12% (0.053% per day) – with a slowdown in growth (28.04 –27.05) and (13.07 – 25.07) associated with a decrease in air temperature. The second – (12.09 – 18.11) led to an increase in d,% by 5.06% (0.075% per day), while also slowing growth at this time (05.11.–14.11.) was observed. After the second phase of active growth (14.11), there is an access to the growth plateau with the resumption of the growing season only in March next year. During the studied vegetation period (2019), the increase in trunk diameter d,% was 12.18% or 1.89 mm. Optimal conditions of maxima and boundaries of optimal regions for the first growth peak: d%=f(I,Ta) – Ta=22–28°C, I=500–800 mkmol/m2s, for d,%=f(I,Da) – Da=1.8–2.3 kPa, I=500–800 mkmol/m2s. For the second growth peak: d%=f(I,Ta) – Ta=22–26°C, I=400–750 mkmol/m2s, for d,%=f(I, Da) – Da =0.3–1.2 kPa, I=400–750 mkmol/m2s.

Simulation-based evaluation of anaesthesia residents: optimising resource use in a competency-based assessment framework

2019 ◽  
Vol 6 (6) ◽  
pp. 339-343
Author(s):  
Melinda Fleming ◽  
Michael McMullen ◽  
Theresa Beesley ◽  
Rylan Egan ◽  
Sean Field
Keyword(s):  
Resource Use ◽  
Clinical Training ◽  
Optimal Number ◽  
Theory And Practice ◽  
High Stakes ◽  
Simulation Based ◽  
Optimal Resource ◽  
Competency Based ◽  
The Impact ◽  
Competency Based Assessment

IntroductionSimulation training in anaesthesiology bridges the gap between theory and practice by allowing trainees to engage in high-stakes clinical training without jeopardising patient safety. However, implementing simulation-based assessments within an academic programme is highly resource intensive, and the optimal number of scenarios and faculty required for accurate competency-based assessment remains to be determined. Using a generalisability study methodology, we examine the structure of simulation-based assessment in regard to the minimal number of scenarios and faculty assessors required for optimal competency-based assessments.MethodsSeventeen anaesthesiology residents each performed four simulations which were assessed by two expert raters. Generalisability analysis (G-analysis) was used to estimate the extent of variance attributable to (1) the scenarios, (2) the assessors and (3) the participants. The D-coefficient and the G-coefficient were used to determine accuracy targets and to predict the impact of adjusting the number of scenarios or faculty assessors.ResultsWe showed that multivariate G-analysis can be used to estimate the number of simulations and raters required to optimise assessment. In this study, the optimal balance was obtained when four scenarios were assessed by two simulation experts.ConclusionSimulation-based assessment is becoming an increasingly important tool for assessing the competency of medical residents in conjunction with other assessment methods. G-analysis can be used to assist in planning for optimal resource use and cost-efficacy.

scholarly journals Resource use efficiency analysis in strawberry production in selected areas of Bangladesh

2019 ◽  
Vol 17 (1) ◽  
pp. 189-200
Author(s):  
M Khatun ◽  
MA Rashid ◽  
S Khandoker ◽  
ND Kundu ◽  
MA Matin
Keyword(s):  
Low Income ◽  
Resource Use ◽  
Primary Data ◽  
Productivity Analysis ◽  
Small Farm ◽  
Resource Use Efficiency ◽  
Scarce Resources ◽  
Farm Profit ◽  
Use Efficiency ◽  
Best Fit

Inefficient use of existing scarce resources has adverse effect on food production and production cost hence, low income among the farmers across the nation. Strawberry farming is profitable but costly. So the study was designed to explore resource use efficiency of strawberry cultivation in Rajshahi and Joypurhat district of Bangladesh. Primary data were collected from 100 strawberry growing farmers. Data were analyzed by using descriptive statistics, Cobb-Douglass production function and marginal productivity analysis. The results showed that 41% farmers were 18 to 30 years old. Highest 26% farmers had primary level of education, 61% farmers had small farm, and 69% farmers had 1 to 3 years’ experience of strawberry cultivation. The double log function showed the best fit with adjusted R2 of 61%. Production inputs such as sapling and fertilizer had positive and labour and chemicals had negative and significant effect on outputs. Sapling, land and water were underutilized and labour, cowdung, fertilizer and chemicals were over used. About 37% farmers reported that strawberry plants were attacked by many more diseases. Approximately, 48% farmers reported that transportation facilities of the study areas were poor. Efficiency ratio of the inputs indicates, farmers of the study area were not efficient in using inputs and it is needed to adjust resource use in order to improve farm profit at this level of technology used. The study also recommends that the farmers need training to be efficient. SAARC J. Agri., 17(1): 189-200 (2019)

scholarly journals The Effect of a Biopreparation on Legume (Pisum Sativum)

2020 ◽  
Author(s):  
V.V. Martynenko ◽  
A.B. Rysbek ◽  
A.A. Kurmanbayev ◽  
Zh.A. Baigonusova
Keyword(s):  
Pisum Sativum ◽  
Field Experiment ◽  
Growing Season ◽  
Optimal Conditions ◽  
Nitrogen Fixing ◽  
Nodule Bacteria ◽  
Nitrogen Fixing Bacteria ◽  
Biological Preparation ◽  
Northern Regions ◽  
Positive Effect

A field experiment of a biological preparation based on the association of nitrogen-fixing bacteria was carried out. The composition includes active and compatible strains of nitrogen-fixing and nodule bacteria. As a result, the biological preparation had a positive effect on germination, length and vegetative mass of peas. The results of research indicate the perspective of the industrially valuable strains of this association. Optimal conditions for the work of the biological preparation are light mechanical composition of the soil and the provision of moisture during the growing season of plants. This preparation may be recommended for use in the Northern regions of Kazakhstan.

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