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Dynamic impacts of environmental degradation on the production of agricultural crops and land rent: a disaggregates analysis of Pakistan

Naveed Wahid, Samina Khalil, Arshad Saleem, Jabbarul Haq, Wazir Ali Metlo, Muhammad Hafeez, Najmuddin Sahu, Altaf Hussain, Arman Khan, Maeenuddin, Masood Wahid Awan

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Int. J. Biosci.16( 2), 208-221, February 2020

DOI: http://dx.doi.org/10.12692/ijb/16.2.208-221


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It is very common that less developed countries concentrate on agriculture to fulfill their basic needs of living. The maximum proportion of employment is entirely dependent on agriculture and other sectors that have least contribution to gross domestic product of the respective countries. Similarly the dependence on agriculture is significant in Pakistan which is sometimes exploited by the climatic changes. The climatic changes create impacts on all kind of stakeholders of the society, particularly agricultural sector. The objective of this study is to investigate the impact of climatic changes on agricultural crops (rice and maize) and land rent that is the form of farmer’s income. The data of agricultural crops, land rent, and variable included in agricultural index and climatic index is collected from agricultural and metrological departments of Pakistan from 1993 to 2015. The data is regressed with Panel data analysis for four provinces of Pakistan. It is found that climatic variables are negative and significant with the dependent variables that are rice, maize and land rent, whereas variable included in agricultural index like tube wells consumption of fertilizers have positive and significant relationship with the dependent variables. The concerned departments may take the outcome of this study into consideration while making policies for said scenarios.


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Dynamic impacts of environmental degradation on the production of agricultural crops and land rent: a disaggregates analysis of Pakistan

Akhtar N, Waseem A, Mehmood T, Bano S, Raza A, Aziz A. 2018. Gene action appraisal for seed yield and related traits in bread wheat (Triticum aestivum L.). Journal of Animal and Plant Sciences. 28, 1457-1465.

Akram Z, Ajmal SU, Shabbir G, Munir M, Cheema NM. 2009. Inheritance mechanism of some yield components in bread wheat. Pakistan Journal of Agriculture Research 22, 1-8.

Anwar J, Ali MA, Hussain M, Sabir W, Khan MA, Zulkiffal M, Abdullah M. 2009. Assessment of yield criteria in bread wheat through correlation and path analysis. The journal of animal and plant science 19, 185-188.

Baloch MJ, Baloch E, Jatoi WA, Veesar NF. 2013. Correlation and heritability of yield and yield attributing traits in wheat (Triticum aestivum L.) Pakistan Journal of Agriculture, Engineering and Veterinary Science 29, 96-105.

Birhanu M, Alamerew S, Assefa A, Assefa E, Dutamo D. 2016. Genetic Variability, Heritability and Genetic Advance for Yield and Yield Related Traits in Bread Wheat (Triticum aestivum L.) Genotypes. Global Journal of Frontier Science Research 16, 1067-1073.

Braun HJ, Atlin G, Payne T. 2010. Multi-location testing as a tool to identify plant response to global climate change. In: Reynolds, CRP. (ed.). Climate change and crop production, CABI, London, UK.

Dewey RD, Lu KH. 1959. A correlation and phenotypic correlation analysis of some quality character and yield of seed cotton in upland cotton (Triticum aestivum L.). Journal of Biological Sciences 4, 235-236.

Economic Survey of Pakistan. 2018. Ministry of Food, Agriculture and Livestock, Federal Bureau of Statistics Islamabad, Pakistan.

Kalimullah, Khan SJ, Irfaq M, Rahman HU. 2012. Genetic variability, correlation and diversity studies in bread wheat (Triticum aestivum L.) germplasm. The Journal of Animal and Plant Science. 22, 330-333.

Khan WU, Mohammad F, Khan FU, Zafar FZ, Ghuttai G. 2015. Correlation Studies among Productions Traits in Bread Wheat under Rainfed Conditions. American-Eurasian Journal of Agriculture and Environmental Science 15, 2057-2063.

Khokhar MI, Javed K, Ikram ul Haq, Akhtar N, Habib I, Anwar MJ. 2019.  Genetic study for improvement of various yield attributing traits in wheat. Journal of Agriculture Research 57, 73-80.

Kwon S, Tirrie J. 1964. Heritability and interrelationship among traits of two soybean populations. Crop Science 4, 196-198.

Laghari KA, Sial MA, Arain MA, Dahot MA, Mangrio MS, Pirzada AJ. 2010. Comparative Performance of Wheat Advance Lines for Yield and its Associated Traits. World Applied Sciences Journal 8, 34-37.

Mohibullah M, Rabbani MA, Jehan S, Amin ZA, Ghazanfar-ullah, 2011. Genetic variability and correlation analysis of bread wheat (Triticum aestivum L.) accessions. Pakistan Journal of Botany. 43, 2717-2720.

Muhammad S, Hussain I, Din RU, Tanveer SK, Qamar M, Abbas SH. 2014. Physio-agronomic Traits Evaluation of Wheat Genotypes for Adaptability under Rainfed Conditions. Sarhad Journal of Agriculture 30, 211-217.

Rahman M, Barma NCD, Biswas BK, Khan AA, Rahman J. 2016. Study on morpho-physiological traits in spring wheat (Triticum aestivum L.) under rainfed condition. Bangladesh Journal of Agriculture Research 41, 235-250.

Said S, Khan SJ, Khan J, Khan R, Khan I. 2014. Genetic Variability Studies in Bread Wheat (Triticum aestivum L.) Accessions. Pakistan Journal of Agriculture 3, 142-157.

Singh RK, Chaudhary BD. 1985. Biometrical methods in quantitative genetic analysis.  Kalyani Puplishers, Ludhiana, New Delhi, p 318.

Sleeper DA, Poelhman JM. 2006. Breeding Field Crops, 5th ed. Panima Pub., New Delhi, 75-76.

Zerga K, Mekbib F, Dessalegn T. 2016. Genetic Variability, Heritability and Genetic Advance in Bread Wheat (Triticum aestivum L.) Genotypes at Gurage Zone, Ethiopia. International Journal of Microbiology and Biotechnology 1, 1-9.