scholarly journals ESTIMATION OF PADDY YIELD ON THE BASIS OF CLIMATIC ELEMENTS AT RAIPUR

MAUSAM ◽  
2021 ◽  
Vol 47 (4) ◽  
pp. 431-433
Author(s):  
SUCHIT K. RAI ◽  
A. KUMAR SINGH ◽  
J. L. CHAUDHARY ◽  
A. S. R. A. S. SASTRI
Keyword(s):  
Paddy Yield ◽  
Climatic Elements

scholarly journals Radial Growth Response of European Larch Provenances to Interannual Climate Variation in Poland

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 334
Author(s):  
Norbert Szymański ◽  
Sławomir Wilczyński
Keyword(s):  
Radial Growth ◽  
Climatic Factors ◽  
Principal Component ◽  
Climatic Conditions ◽  
Growth Responses ◽  
European Larch ◽  
Temperature And Precipitation ◽  
Provenance Trials ◽  
High Precipitation ◽  
Climatic Elements

The present study identified the similarities and differences in the radial growth responses of 20 provenances of 51-year-old European larch (Larix decidua Mill.) trees from Poland to the climatic conditions at three provenance trials situated in the Polish lowlands (Siemianice), uplands (Bliżyn) and mountains (Krynica). A chronology of radial growth indices was developed for each of 60 European larch populations, which highlighted the interannual variations in the climate-mediated radial growth of their trees. With the aid of principal component, correlation and multiple regression analysis, supra-regional climatic elements were identified to which all the larch provenances reacted similarly at all three provenance trials. They increased the radial growth in years with a short, warm and precipitation-rich winter; a cool and humid summer and when high precipitation in late autumn of the previous year was noted. Moreover, other climatic elements were identified to which two groups of the larch provenances reacted differently at each provenance trial. In the lowland climate, the provenances reacted differently to temperature in November to December of the previous year and July and to precipitation in September. In the upland climate, the provenances differed in growth sensitivity to precipitation in October of the previous year and June–September. In the mountain climate, the provenances responded differently to temperature and precipitation in September of the previous year and to precipitation in February, June and September of the year of tree ring formation. The results imply that both climatic factors and origin (genotype), i.e., the genetic factor, mediate the climate–growth relationships of larch provenances.

scholarly journals The effect of climate change on depression in urban areas of western Iran

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hamed Abbasi
Keyword(s):  
Climate Change ◽  
Mental Health ◽  
Urban Areas ◽  
Climate Changes ◽  
Climatic Conditions ◽  
Negative Effects ◽  
Western Iran ◽  
Regime Changes ◽  
Climatic Time Series ◽  
Climatic Elements

Abstract Objective Human is accustomed to climatic conditions of the environment where they are born and live throughout their lifetime. The aim of this study is to examine mood swings and depression caused by sudden climate changes that have not yet given the humans a chance to adapt. Results Our results showed that depression could be affected by climate change and as a result, the behavior of climatic elements and trends has damaged mental health in the western regions of Iran. By investigating the trends and changes of climatic time series and their relationship with the rate of depression in urban areas of western Iran, it can be said that climate change is probably a mental health challenge for urban populations. Climate change is an important and worrying issue that makes the life difficult. Rapid climate changes in western Iran including rising air temperature, changes in precipitation, its regime, changes cloudiness and the amount of sunlight have a negative effects on health. The results showed that type of increasing or decreasing trend, as well as different climatic elements in various seasons did not have the same effect on the rate of depression in the studied areas.

scholarly journals PERKIRAAN PELUANG HUJAN UNTUK MENENTUKAN WAKTU TANAM KAPAS DI NUSA TENGGARA BARAT

2020 ◽  
Vol 9 (2) ◽  
pp. 39
Author(s):  
PRIMA D. RIAJAYA ◽  
F. T. KADARWATI ◽  
MOCH. MACHFUD
Keyword(s):  
Gossypium Hirsutum ◽  
Daily Rainfall ◽  
Rainfall Data ◽  
Cotton Yield ◽  
Rainfall Analysis ◽  
First Order ◽  
Successful Prediction ◽  
Probability Methods ◽  
Climatic Elements

<p>Curah hujan merupakan salah salu unsur iklim yang sangal berpengaruh terhadap produksi kapas Variasi hujan di lahan tadah hujan sangat linggi. Waklu tanam yang telah dilentukan sebelumnya hanya berdasarkan data curah hujan selama 1 0 Uihun Untuk mcmpcrbaiki waktu tanam tersebut, perlu dilakukan analisis hujan berdasarkan data curah hujan selama lebih dari 20 tahun untuk mendapatkan angka peluang yang lebih stabil. Analisis dilakukan berdasarkan data curah hujan lebih dari 20 tahun yang lerkumpul dari 16 slasiun hujan yang tersebar di Kabupaten Lombok Timur. lombok Tengah. Lombok Barat, Sumbawa, Bima, dan Dompu. Data dianalisis menggunakan metode peluang Markov Ordc Pertama dan perhilungan peluang sclang kering beturut-turut Waktu tanam kapas di sebagian besar I-ombok dan Sumbawa berkisar minggu pertama sampai minggu kedua Desember, minggu ketiga sampai keempal Desember di Kawo, Lombok Tengah dan Rasanae, Bima, dan minggu pertama Januari di Moyohilir, Sumbawa dan Bayan, Lombok Barat. Daerah yang beresiko linggi untuk pengembangan kapas adalah di wilayah sekilar Pringgabaya (Lombok Timur), Ulhan (Sumbawa), Donggo dan Wawo di Bima Daerah lainnya dengan kandungan air tersedia yang rendah dengan kandungan pasir lebih dari 50% seperti di 1-ape (Sumbawa) penanaman kapas hendaknya dilakukan lebih awal. Tipe iklim didominasi iklim kering dengan musim hujan yang sangat pendek sehingga tidak memungkinkan adanya pergiliran tanaman palawija-kapas Kapas hendaknya ditanam bersamaan dengan palawija mcngingal pendeknya periode hujan.</p><p>Kata kunci : Gossypium hirsutum, waktu tanam. periode kering, masa tanam</p><p> </p><p><strong>ABSTRACT </strong></p><p><strong>Prediction of rainfall probability for determination of cotton sowing times in West Nusa Tenggara</strong></p><p>Climatic elements paticularly rainfall strongly influences successful prediction of rainfed cotton yield. Rainfall vaiability varies amongst Ihe season The previous planting times were determined based on 10 years daily rainfall data. I-ongterm rainfall data arc required for rainfall analysis to get reliable probabilities. The rainfall analysis was done using Markov Chain First Order Probability and dryspell probability methods Ihe rainfall data were collected from 16 rainfall stations in West Nusa Tcnggara (Eas( Lombok, Central I-ombok, West Lombok, Sumbawa, Bima, and Dompu). Ihe planting times varied from the irst week to the second week of December for most areas of I-ombok and Sumbawa The planting limes in Kawo, Central Lombok and Rasanae, Bima were mid December: and early January in Moyohilir, Sumbawa and Bayan, West l.ombok The areas which high risk to drought are around Pringgabaya (Hast lombok), Uthan (Sumbawa), Donggo and Wawo (Bima). On sandy- areas such as I-ape (Sumbawa) cotton should be planted earlier Type of climate in most areas is dry with limited rainy season, thai relay-planting of these areas is not practiced.</p><p>Key words: Gossypium hirsutum, planting time, dryspcll, seasonal patern</p>

scholarly journals KONDISI LAHAN PASANG SURUT KAWASAN RAWA PENING DAN POTENSI PEMANFAATANNYA

2011 ◽  
Vol 9 (3) ◽  
Author(s):  
Euthalia Hanggari Sittadewi
Keyword(s):  
Water Level ◽  
Rice Field ◽  
Level Process ◽  
Paddy Yield ◽  
Dry And Rainy Seasons

The tidal land in Rawa Pening’s region is land that has been formed as caused of up and down water level process of Rawa Pening’s lake. The wide of tidal land that can be used are fluctuated beetwen dry and rainy seasons. The main used of tidal land is for rice field. The wide of tidal land that can be used for rice field beetwen elevation + 462,30 m and +463,30 m are 812 Ha, between elevation + 462,05 m and +462,30 are 218,51 Ha. There are some species of paddy that has been cultivated in that area, are IR-64, GH barito, ciliwung, cisadane, membramo and mentik. Mean of paddy yield is about 2,5 – 5 ton/ Ha.

scholarly journals THE EFFECT OF FERTILIZER SUBSIDY ON PADDY PRODUCTION OF SMALL SCALE FARMERS: SPECIAL REFERENCE IN POLONNARUWA DISTRICTIN SRI LANKA

2019 ◽  
Vol 1 (1) ◽  
pp. 33-44
Author(s):  
M B Ranathilaka ◽  
I.A.J Imbulana Arachchi
Keyword(s):  
Sri Lanka ◽  
Education Level ◽  
Living Condition ◽  
Alternative Methods ◽  
Small Scale ◽  
Sri Lankan ◽  
Paddy Farmers ◽  
Small Scale Farmers ◽  
Paddy Cultivation ◽  
Paddy Yield

Paddy cultivation is major part in rural agriculture sector in Sri Lanka. Majority of rural sector paddy farmers are small-scale producers. According to available data paddy production sector provides livelihood opportunities for large numbers of rural population, provide rice requirement of the nation, provide inputs to other industrial sector etc.To enhance small-scale farmers living condition as well as paddy production, Sri Lankan government promotes paddy farmers to use more fertilizer for their paddy cultivation activities. Therefore, Sri Lankan government provides subsidized fertilizer to enhance both paddy production and paddy yield per acre. Last few decades paddy production and paddy yield per acre data show continues increasing trend. At the same time government expenditure on fertilizer also becomes heavy burden to national budget. There are arguments for and against to fertilizer subsidy program and its practice. This study attempts to study the effect of fertilizer subsidy on paddy production and living condition of small-scale farmers in Polonnaruwa district in Sri Lanka. The data are used to estimate an econometric model to find the relationship between paddy productivity, fertilizer subsidy, agricultural infrastructure facilities and farmers education level. The data were collected from Bubula and Raja-elagama villages in Higurakgoda divisional secretariat in Polonnaruwa district. Structured questioner was used to collect the data from 150 farmers. The results show that there is significant relationship between paddy production and dependent variables named fertilizer subsidy, agricultural infrastructure facilities and farmers education level. Especially fertilizer subsidy and paddy productivity is significant at 5 per cent level and R2 was 0.68. This result shows that government main objective of fertilizer subsidy that improves paddy productivity has been fulfilled. At the same time, household income from paddy has also increased and it has affected their livelihoods. But poor agricultural infrastructural facilities have mitigated farmers’ income. Research results and some empirical evidence have concluded that it is important to find alternative methods to select suitable and needy farmers who are eligible to get fertilizer subsidy because conducting methods of distributing have made many kinds of effects on the efficiency of resource utilization, equity of income distribution as well as government budget. Agricultural infrastructure facilities are very important for making fertilizer subsidy programs more meaningful and to have a significant effect on enhancing paddy farmers’ living conditions.

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