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Agro-Psychological Studies of Wheat Triticum Aestivum L. under Different Management System

Thesis Info

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Author

Shah, S. Wajid Ali

Program

PhD

Institute

Gomal University

City

Dera Ismail Khan

Province

KPK

Country

Pakistan

Thesis Completing Year

2012

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/1053

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725448950

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A study on "Agro Physiological study of wheat (Triticum aestivum L.) under different management systems” was conducted at Agricultural Research Station, Serai Nourang (Bannu), NWFP – Pakistan for 2-years during 2003-04 and 2004-05. This study comprised four research experiments. An experiment entitled “To study the effect of irrigation levels under various nitrogen levels” were studied, during this experiment five irrigation levels (120 mm, 230 mm, 360 mm, 470 mm and 600 mm) and five nitrogen doses (Control, 40 kg ha -1 , 80 kg ha -1 , 120 kg ha -1 and 140 kg ha -1 ) were evaluated. Data recorded from the irrigation treatments revealed that maximum (688.45) tillers m -2 , leaf area index (1.66), grains spike -1 (70.57), 1000-grain weight (47.98 g), grain yield (2677.00 kg ha -1 ), biological yield (13978.00 kg ha -1 ), protein in gains (11.91 %), protein (6.64 %), net income (Rs. 39300.00), BCR (3.27 %) and MRR % (327.35) was noted from the plots irrigated with 470 mm water. Identical results were observed during 2004-05 and mean of both year. Statistical analysis of the data also revealed that nitrogen doses significantly affected all parameters except harvest index. It can be inferred from the data showed that maximum (713.50) tillers m -2 , leaf area index (1.74), grains spike -1 (67.06), 1000-grain weight (47.47 g), grain yield (2806.75 kg ha -1 ), biological yield (10817.13 kg ha -1 ), protein in gains (11.49 %), protein (6.33 %), net income (Rs. 34844.00), BCR (2.96 %) and MRR % (296.11) was noted from the plots fertilized with 120 kg N ha -1 . The same trend was followed during 2004-05 and pooled data. In case of interaction between irrigation and nitrogen it was observed that maximum (843.00) tillers m -2 , leaf area index (1.61), grains spike -1 (74.90), 1000-grain weight (49.72 g), grain yield (3150.00 kg ha -1 ), biological yield (16260.00 kg ha -1 ), protein in gains (15.02 %), protein (14.94 %), net income (Rs. 48087.00), BCR (3.65 %) and MRR % (364.685) was noted from the plots irrigated with 470 mm water and fertilized with 120 kg N ha - 1 . Similar trend was observed in 2004-05 and in two years average VIIIThe 2 nd experiment was conducted to study the response of wheat to various irrigation levels and different seed rates, five irrigation levels (I 1 = 120 mm, I 2 = 230 mm, I 3 = 360 mm, I 4 = 470 mm and I 5 = 600 mm) and five seed rates (S 1 = 60 kg ha -1 , S 2 = 80 kg ha -1 , S 3 = 100 kg ha - 1 , S 4 = 120 kg ha -1 and S 5 = 140 kg ha -1 ) were used.. Data recorded from the irrigation treatments revealed that maximum (362.35) tillers m -2 , grains spike -1 (64.80), leaf area index (4.24), 1000- grain weight (43.19 g), grain yield (3130.00 kg ha -1 ), biological yield (13167.50 kg ha -1 ), net income (Rs. 44283.00), BCR (3.71 %) and MRR % (370.82) was noted from the plots irrigated with 470 mm water. The same trend was followed during 2004-05 and pooled data. Statistical analysis of the data also revealed that seed rates were significantly affected all parameters except biological yield and harvest index. It can be inferred from the data showed that maximum ((346.10) tillers m -2 , grains spike -1 (62.70), leaf area index (4.08), 1000-grain weight (43.15 g), grain yield (3160.00 kg ha -1 ), biological yield (10403.00 kg ha -1 ), net income (Rs. 39967.00), BCR (3.46 %) and MRR % (345.95) was noted from the plots seeded with 120 kg ha -1 . In 2004- 05 and both year average, almost the same trend was observed. In case of interaction between irrigation and seed rate it was observed that maximum (386.25) tillers m -2 , grains spike -1 (70.00), leaf area index (4.78), 1000-grain weight (45.20 g), grain yield (3800.00 kg ha -1 ), biological yield (14287.50 kg ha -1 ), net income (Rs. 54043.00), BCR (4.26 %) and MRR % (426.35) was noted from the plots irrigated with 470 mm water and seed rate was used @ 120 kg ha -1 . Similar trend was observed in 2004-05 and in two years average. Identical results were observed during 2004-05 and mean of both years An experiment entitled “Yield and yield components of wheat as affected by different seed rates and nitrogen levels” was conducted during 2003-04 and 2004-05. Five seed rates (S 1 = 60 kg ha -1 , S 2 = 80 kg ha -1 , S 3 = 100 kg ha -1 , S 4 = 120 kg ha -1 and S 5 = 140 kg ha -1 ) and five nitrogen doses (N 0 = Control, N 1 = 40 kg ha -1 , N 2 = 80 kg ha -1 , N 3 = 120 kg ha -1 and N 5 = 140 kg ha -1 ) were applied. Analysis of the data recorded from the irrigation treatments showed that maximum (334.85) tillers m -2 , leaf area index (4.50), grains spike -1 (60.80), 1000-grain weight (41.91 g), grain yield (3957.64 kg ha -1 ), biological yield (10172.40 kg ha -1 ), protein in gains (7.13 %), protein (6.90 %), net income (Rs. 50225.00), BCR (4.28 %) and MRR % (428.27) was noted from the plots which were seeded with 120 kg ha -1 . Identical results were observed during 2004-05 and mean of both years. Statistical analysis of the data also revealed maximum (348.00) tillers m -2 , leaf area index (4.42) grains spike -1 (63.90), 1000-grain weight (42.19 g), grain yield IX(4145.14 kg ha -1 ), biological yield (10579.75 kg ha -1 ), protein in gains (9.87 %), protein (8.09 %), net income (Rs. 52831.00), BCR (4.46 %) and MRR % (446.21) was noted from the plots fertilized with 120 kg N ha -1 . The same trend was followed during 2004-05 and pooled data. In case of interaction between irrigation and nitrogen it was observed that maximum (380.75) tillers m -2 , leaf area index (5.39), grains spike -1 (68.25), 1000-grain weight (44.20 g), grain yield (4663.20 kg ha -1 ), biological yield (11270.00 kg ha -1 ), protein in gains (11.82 %), protein (13.55 %), net income (Rs. 60179.00), BCR (4.88 %) and MRR % (488.25) was noted from the plots seeded with 120 kg ha -1 seed rate and fertilized with 120 kg N ha -1 , while maximum leaf area index (1.57) was recorded from the plots seeded with 120 kg ha -1 and fertilized with 80 kg N ha - 1 . Similar trend was observed in 2004-05 and in two year average The 4 th experiment was conducted to study the response of different wheat varieties to various seed rates. The experiment consists of five different wheat varieties (V 1 = Nasir - 2k, V 2 = Salim - 2k, V 3 = Bakhtawar-92, V 4 = Fakhre-e-Sarhad and V 5 = Lucky J-03) were sown at five various seed rates (S1 = 60 kg ha -1 , S 2 = 80 kg ha -1 , S 3 = 100 kg ha -1 , S 4 = 120 kg ha -1 and S 5 = 140 kg ha -1 ). Data recorded from the varieties treatments revealed that maximum tillers m -2 (377.30), leaf area index (4.10), grains spike -1 (68.05), 1000-grain weight (45.24 g), grain yield (4022.50 kg ha -1 ), biological yield (16660.92 kg ha -1 ), net income (Rs. 61921.00), BCR (4.99 %) and MRR % (499.49) was noted from the plots sown with variety Fakhre Sarhad . The same trend was followed during 2004-05 and pooled data. Statistical analysis of the data also revealed that seed rates were significantly affected all parameters except biological yield and harvest index. It can be inferred from the data showed that maximum ((369.20) tillers m -2 , grains spike -1 (65.30), leaf area index (4.03), 1000-grain weight (45.30 g), grain yield (4222.80 kg ha -1 ), biological yield (15030.53 kg ha -1 ), net income (Rs. 62119.00), BCR (5.18 %) and MRR % (518.03) was noted from the plots seeded with 120 kg ha -1 . In 2004-05 and in two years average, almost the same trend was observed. In case of interaction between varieties and seed rate it was observed that maximum (420.25) tillers m -2 , leaf area index (4.79), grains spike -1 (74.00), 1000-grain weight (47.33 g), grain yield (4676.25 kg ha -1 ), biological yield (19535.16 kg ha -1 ), net income (Rs. 66863.00), BCR (5.47 %) and MRR % (546.95) was noted from the plots sown with Fakhre Sarhad and seed rate was used @ 120 kg ha -1 . Similar trend was observed in 2004-05 and in two year average. Identical results were observed during 2004-05 and mean of both years.
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مالکیہ کے نزدیک اقسام قتل

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The Social and Financial Performance of Conventional and Islamic Microfinance Institutions in Pakistan

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Research Paper Recommendation by Exploiting Co-Citation Occurrences in Sections of Scientific Papers

Citation indexes and digital libraries index millions of research papers and make them available to the scienti c community; however, searching the intended information from these huge repositories remain a challenge. Everyday, the research papers in online digital libraries are increasing due to di erent number of conferences, workshop, and journals which are being arranged throughout the world. According to the statistic in 2017, one of the digital libraries in medical domain, such as PubMed consisted of 28 millions of research documents. The manual searching of relevant research papers from such a huge amount of documents is a very di cult task. Therefore, this area has attracted the attention of researcher''s worldwide to propose and implement innovative techniques that could recommend relevant papers to researchers. The identi cation of relevant research papers has become an important research area. For this, research community has proposed more than 90 di erent approaches in the past 15 years. These approaches have utilized di erent data sources, such as metadata, content, pro le based data and citations of research papers. These techniques have certain strengths and limitations which have been critically reviewed and presented in this document. One of the important approaches in this area is co-citation analysis which considers two documents as relevant if they are co-cited in other scienti c documents. The original approach used references from the reference list of scienti c documents to make such observations. However, in the recent years, the content of documents have also been exploited along with the reference list to enhance the accuracy. These approaches include Citation Proximity Analysis (CPA), Citation Order Analysis (COA), and exploit bytes of the content of scienti c papers. These approaches conceptualize the occurrence of co-citations in di erent level of proximity and give more weights to the co-cited documents which are co-cited closely. However, the closely co-cited documents in the \Methodology/Results" section may be considered more relevant as compared to the closely co-cited papers in the \Introduction/Discussion" sections. This thesis explores structural organization of scienti c documents by giving weights according to the importance of di erent generic sections, and investigates that whether such approach may increase the accuracy of identifying relevant papers. This work addresses the following important research challenges and can be considered as the contributions of the thesis: (1) generic section identi cation in citing document (2) in-text citation patterns and frequencies identi cation in citing document and (3) design of an algorithm that utilizes evidences from above mentioned sources (sections name, their weight, and the frequency of co-citations) to identify and recommend relevant papers. For each contribution, the detailed architecture, dataset and evaluation have been discussed in this thesis. First the generic section identi cation component was designed, implemented and then evaluated with state-of-the-art approaches. The proposed approach was evaluated on two datasets consisted of 150 and 300 citing documents respectively. The aggregated F-score of proposed approach was 92% over the both datasets while the F-score of the state-of-the-art technique was 81%. Second, the component of in-text citation patterns and frequencies identi cation was implemented with detailed architecture, dataset, and evaluation. For the evaluation, two datasets were prepared from openly available digital libraries, Journal of Universal Computer Science (J.UCS)1 and CiteSeerX2. The proposed model was outperformed the state-of-the-art approach by increasing the F-score from 0.58 to 0.97. The third contribution of this thesis is section wise co-citation analysis which depends on earlier two components. The proposed approach was designed to rank the co-cited documents. For the evaluation purpose, two benchmarks such as JSD and cosine similarity based rankings were selected for the comparison of proposed and state-of-the-art approaches. The score has been compared between the proposed and state-of-the-art approaches using Spearman''s and Kendall''s tau measures. The results show that the proposed approach has outperformed comparatively the state-of-the-art techniques such as: standard co-citation and CPA based on bytes o set.