Biotech Crops, Input Use and Landslides Case Study of Herbicide Tolerant Corn in the Philippine Highlands

2020 ◽  
Vol 177 ◽  
pp. 106773
Author(s):  
Ludovic Bequet
Keyword(s):  
Input Use ◽  
Herbicide Tolerant ◽  
Biotech Crops

scholarly journals Nutritional and Safety Assessments of Foods and Feeds Nutritionally Improved Through Biotechnology: Lysine Maize as a Case Study

2007 ◽  
Vol 90 (5) ◽  
pp. 1470-1479 ◽  
Author(s):  
Kevin C Glenn
Keyword(s):  
Sweet Potato ◽  
Task Force ◽  
Life Sciences ◽  
Herbicide Tolerance ◽  
Provitamin A ◽  
Feed Ingredient ◽  
Nutritional Characteristics ◽  
Safety Assessments ◽  
Biotech Crops

Abstract During the last decade, the area of biotech crops modified for agronomic input traits (e.g., herbicide tolerance and insect protection) has increased to 90 million ha/year, grown by over 8 million farmers in a total of 17 countries. As adoption of these improved agronomic trait biotech crops has grown, so has interest in biotech crops that have improved nutritional characteristics for use as feed and food. A previous publication by the International Life Sciences Institute (ILSI) reported on the principles and concepts proposed for the nutritional and safety assessments of foods and feeds nutritionally improved through biotechnology. In this paper, the guidelines and principles recommended in the earlier publication are discussed relative to a specific case study, Lysine maize. Lysine maize is a feed ingredient with enhanced nutritional characteristics for poultry and swine and provides an alternative to the need for addition of supplemental lysine to some diets for these animals. The 2004 Task Force of the ILSI has also applied the concepts from that report to 4 other case studies: sweet potato enriched in provitamin A (2 examples, one using biotechnology and one using conventional breeding); Golden Rice 2; double-embryo maize; and ASP-1 enhanced protein sweet potato.

Principal Variance Component Analysis of Crop Composition Data: A Case Study on Herbicide-Tolerant Cotton

2013 ◽  
Vol 61 (26) ◽  
pp. 6412-6422 ◽  
Author(s):  
Jay M. Harrison ◽  
Delia Howard ◽  
Marianne Malven ◽  
Steven C. Halls ◽  
Angela H. Culler ◽  
...  
Keyword(s):  
Variance Component ◽  
Component Analysis ◽  
Variance Component Analysis ◽  
Composition Data ◽  
Herbicide Tolerant ◽  
Principal Variance Component Analysis

scholarly journals Input Use Efficiency in Sunflower Production; A Case Study of Konya Province (Karatay District)

2019 ◽  
Vol 7 (11) ◽  
pp. 2012
Author(s):  
Cennet Oğuz ◽  
Aysun Yener Öğür ◽  
Aycan Ayhan
Keyword(s):  
Economic Efficiency ◽  
Resource Use ◽  
Sampling Method ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Production Values ◽  
Input Use ◽  
Use Efficiency ◽  
Sunflower Production

The aim of the study is to analyse the efficiency of input use in sunflower production in Karatay district. Turkey ranks 10th in sunflower production in the world and Konya province has 13.39% capacity of sunflower production in Turkey, placing the 2nd place in terms of production. 97% of sunflower produced in Konya province is sunflower for oil. Data used in this study was determined as 51 enterprises manufacturing sunflower according to the Stratified Sampling Method. The economic efficiency results of sunflower production were calculated with Data Envelopment Analysis (DEAP) method. The total Gross Production Values (GPV) obtained from the enterprises is 50,221.43 $, the GPV acquired from the sunflower production is 23,844.70 $, the total gross profit is 36,927.29 $ and the sunflower gross profit is 18,285.16 $. According to the efficiency results, economic efficiency was found to be 0.604, resource efficiency was 0.604, technical efficiency was 0.868, and pure efficiency was 0.922 while scale efficiency was 0.942. It should be ensured that enterprises use their resources effectively. Information meetings should be held for enterprises on resource use.

Advances in irrigation/fertigation techniques in greenhouse soilless culture systems (SCS)

2021 ◽  
pp. 249-276
Author(s):  
Georgios Nikolaou ◽  
◽  
Damianos Neocleous ◽  
Evangelini Kitta ◽  
Nikolaos Katsoulas ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Management System ◽  
Culture System ◽  
Irrigation Management ◽  
Monitoring Systems ◽  
Soilless Culture ◽  
Input Use ◽  
New Directions

The objective of this chapter is to describe the most common soilless culture system (SCS) irrigation and fertigation methods. The chapter summarizes common types of irrigation/fertigation system and types of management system. It then discusses the shift to real-time plant-based sensing and monitoring systems together with models to analyze this data and translate it into irrigation management decisions. A case study is included to illustrate these systems in practice. The chapter concludes by identifying new directions in the application of internet of things (IoT), artificial intelligence and phyto-sensing technologies to optimize input use.

scholarly journals Herbicide-tolerant crops in agriculture: oilseed rape as a case study

2002 ◽  
Vol 121 (2) ◽  
pp. 97-107 ◽  
Author(s):  
I. J. SENIOR ◽  
P. J. DALE
Keyword(s):  
Oilseed Rape ◽  
Herbicide Tolerant

scholarly journals Management of herbicide-tolerant oilseed rape in Europe: a case study on minimizing vertical gene flow

2004 ◽  
Vol 3 (3) ◽  
pp. 135-148 ◽  
Author(s):  
Yann Devos ◽  
Dirk Reheul ◽  
Adinda DE Schrijver ◽  
François Cors ◽  
William Moens
Keyword(s):  
Gene Flow ◽  
Oilseed Rape ◽  
Herbicide Tolerant

Theory-Based Problem Formulation and Ideation in mHealth Analysis and Recommendations

2022 ◽  
Vol 34 (4) ◽  
pp. 0-0
Keyword(s):  
Cognitive Mapping ◽  
Design Science ◽  
Stakeholder Analysis ◽  
Science Research ◽  
Problem Formulation ◽  
Design Science Research ◽  
Problem Analysis ◽  
Input Use ◽  
Kernel Theory

This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.

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