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Response model of vegetation parameters and yield in maize under the influence of Lithovit fertilizer
Control of plant nutrition and photosynthetic processes through fertilization is a necessary and current practice, to corn crop. This study aimed to assess the influence of Lithovit fertilizer, a product with a balanced content of nutrients, on chlorophyll content as an indicator of physiological st...
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description | Control of plant nutrition and photosynthetic processes through fertilization is a necessary and current practice, to corn crop. This study aimed to assess the influence of Lithovit fertilizer, a product with a balanced content of nutrients, on chlorophyll content as an indicator of physiological status of plants and production of maize, hybrid Andreea. In the range of concentrations tested (0.3%, 0.5%, 0.75% and 1%), along with a control variant, product Lithovit generated the best results at concentrations of 0.5% and 0.7%, safely statistics (p < 0.01). Based on the values of chlorophyll content in the stages of growth, BBCH 30 (R2 = 0.998, p |
doi_str_mv | 10.1063/1.4992601 |
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This study aimed to assess the influence of Lithovit fertilizer, a product with a balanced content of nutrients, on chlorophyll content as an indicator of physiological status of plants and production of maize, hybrid Andreea. In the range of concentrations tested (0.3%, 0.5%, 0.75% and 1%), along with a control variant, product Lithovit generated the best results at concentrations of 0.5% and 0.7%, safely statistics (p < 0.01). Based on the values of chlorophyll content in the stages of growth, BBCH 30 (R2 = 0.998, p <0.001) and BBCH 63 (R2 = 0.992, p <0.001), it was possible, by regression analysis, to predict the production of corn, safely statistics. The behavior of response curves was described by polynomial functions of order 3, which capture the inflection points as a result of how to variation of chlorophyll content, amid treatments applied.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.4992601</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Chlorophyll ; Corn ; Functions (mathematics) ; Inflection points ; Nutrients ; Nutrition ; Photosynthesis ; Regression analysis</subject><ispartof>AIP conference proceedings, 2017, Vol.1863 (1)</ispartof><rights>Author(s)</rights><rights>2017 Author(s). 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This study aimed to assess the influence of Lithovit fertilizer, a product with a balanced content of nutrients, on chlorophyll content as an indicator of physiological status of plants and production of maize, hybrid Andreea. In the range of concentrations tested (0.3%, 0.5%, 0.75% and 1%), along with a control variant, product Lithovit generated the best results at concentrations of 0.5% and 0.7%, safely statistics (p < 0.01). Based on the values of chlorophyll content in the stages of growth, BBCH 30 (R2 = 0.998, p <0.001) and BBCH 63 (R2 = 0.992, p <0.001), it was possible, by regression analysis, to predict the production of corn, safely statistics. The behavior of response curves was described by polynomial functions of order 3, which capture the inflection points as a result of how to variation of chlorophyll content, amid treatments applied.</description><subject>Chlorophyll</subject><subject>Corn</subject><subject>Functions (mathematics)</subject><subject>Inflection points</subject><subject>Nutrients</subject><subject>Nutrition</subject><subject>Photosynthesis</subject><subject>Regression analysis</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2017</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kF1LwzAYhYMoOKcX_oOAd0JnPto0uZThFwwEUfAupM1bl9E2NUkL89e7sYF3Xr1weM45vAeha0oWlAh-Rxe5UkwQeoJmtChoVgoqTtGMEJVnLOef5-gixg0hTJWlnCF4gzj4PgLuvIUW-wZP8AXJJOd7PJhgOkgQIja9xVsHrcWux51xP4DH3kLAaQ07qWlH6GvY-1curf3kEm4gJNfuyHCJzhrTRrg63jn6eHx4Xz5nq9enl-X9KquZ4ikDWtTW8rzhtlSFkUZVDLiwCozNa0kZMKgaI0CanBtpK6uKwpayripZVkzwObo55A7Bf48Qk974MfS7Ss0oFURJRfbU7YGKtTs8qofgOhO2evJBU32cUA-2-Q-mRO83_zPwX1rgdac</recordid><startdate>20170721</startdate><enddate>20170721</enddate><creator>Gigel, Prisecaru</creator><creator>Florin, Sala</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20170721</creationdate><title>Response model of vegetation parameters and yield in maize under the influence of Lithovit fertilizer</title><author>Gigel, Prisecaru ; Florin, Sala</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-e15cdd34f3d795a8a9b2e36d9ead4c812e2ebfa6e8a43a8dbd955d78cbb87b263</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Chlorophyll</topic><topic>Corn</topic><topic>Functions (mathematics)</topic><topic>Inflection points</topic><topic>Nutrients</topic><topic>Nutrition</topic><topic>Photosynthesis</topic><topic>Regression analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gigel, Prisecaru</creatorcontrib><creatorcontrib>Florin, Sala</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gigel, Prisecaru</au><au>Florin, Sala</au><au>Simos, Theodore</au><au>Tsitouras, Charalambos</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Response model of vegetation parameters and yield in maize under the influence of Lithovit fertilizer</atitle><btitle>AIP conference proceedings</btitle><date>2017-07-21</date><risdate>2017</risdate><volume>1863</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Control of plant nutrition and photosynthetic processes through fertilization is a necessary and current practice, to corn crop. This study aimed to assess the influence of Lithovit fertilizer, a product with a balanced content of nutrients, on chlorophyll content as an indicator of physiological status of plants and production of maize, hybrid Andreea. In the range of concentrations tested (0.3%, 0.5%, 0.75% and 1%), along with a control variant, product Lithovit generated the best results at concentrations of 0.5% and 0.7%, safely statistics (p < 0.01). Based on the values of chlorophyll content in the stages of growth, BBCH 30 (R2 = 0.998, p <0.001) and BBCH 63 (R2 = 0.992, p <0.001), it was possible, by regression analysis, to predict the production of corn, safely statistics. The behavior of response curves was described by polynomial functions of order 3, which capture the inflection points as a result of how to variation of chlorophyll content, amid treatments applied.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.4992601</doi><tpages>4</tpages></addata></record> |
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subjects | Chlorophyll Corn Functions (mathematics) Inflection points Nutrients Nutrition Photosynthesis Regression analysis |
title | Response model of vegetation parameters and yield in maize under the influence of Lithovit fertilizer |
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