Search results
10 result(s) search for keyword(s) 'index' 
Refine your searchYield prediction and nitrogen recommendation in maize using normalized difference vegetation index / Karki K.B in Agronomy Journal of Nepal, Vol.3 (2013)
Title : Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index Material Type: printed text Authors: Karki K.B, Author Publication Date: 2013 Article on page: 82-88p. Languages : English (eng) Keywords: Maize yield, Prediction, Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404
in Agronomy Journal of Nepal > Vol.3 (2013) . - 82-88p.[article] Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index [printed text] / Karki K.B, Author . - 2013 . - 82-88p.
Languages : English (eng)
in Agronomy Journal of Nepal > Vol.3 (2013) . - 82-88p.
Keywords: Maize yield, Prediction, Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404 Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index / Karki, T.B.
Title : Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index Material Type: printed text Authors: Karki, T.B., Author Publisher: Rampur, Chitwan : National Maize Research Program Publication Date: 2013 Pagination: 7p. Languages : English (eng) Keywords: Maize yield; Prediction; Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404 Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index [printed text] / Karki, T.B., Author . - Rampur, Chitwan : National Maize Research Program, 2013 . - 7p.
Languages : English (eng)
Keywords: Maize yield; Prediction; Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404
Title : Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index Material Type: printed text Authors: Karki, T.B., Author Publisher: Rampur, Chitwan : National Maize Research Program Publication Date: 2013 Pagination: 7p. Languages : English (eng) Keywords: Maize yield; Prediction; Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404 Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index [printed text] / Karki, T.B., Author . - Rampur, Chitwan : National Maize Research Program, 2013 . - 7p.
Languages : English (eng)
Keywords: Maize yield; Prediction; Normalized difference vegetation index Link for e-copy: http://elibrary.narc.gov.np/?r=1404 
Title : Ecogeographic and Genetic Diversity Analysis of Mango in Nepal Material Type: printed text Authors: Subedi, A, Author ; Bajracharya, J., Author ; Regmi, H.N., Author ; H. B. K. C, Author ; Gupta, S.R., Author ; B.K. Joshi, Author Pagination: 66-70 p. Languages : English (eng) Keywords: ccogcographic survey, genetic diversity, landraccs, diversity index Abstract: Mango is one of the important tropical fruits of Nepal ami occurs as a domesticated or ll'ild
entity in the complex of biotic community of the ecosystem. Wide ecological variation and
diverse needs of multi-ethnic comm1mities has enriched the country with genetic 1vealth of
diverse mango varieties and land races. The tropical plain, river gorge areas and sub-tropical
valleys are the regions that are rich in mango diversity. As a result, the global project on
"Strengthening scientific basis of in-situ consen•ation of agricultural biodiversity on-farm,
Nepal componellt" identified mango as a mandatol)' crop and under the project,
ecogeographic sun•ey and genetic di1•ersity was carried to measure the extent of diversity.
Siraha, Saptari, Dhading, Kavre, Parbat. Baglw1g and Dadeldlwra, the districts representing
the Terai and mid-hill ecosystems ll'ere surreyed for mango diversity. Fruit samples of 216
mango trees collected in ecogeographic sun•ey were evaluated for nineteen nwrplwlogical
characters of fruit to understand the genetic relationships. A mnge of \'(/riation e.risted in
varietalfrmit of mango with dijferellf shapes, co/ow; sizes,j7al'fmr (aroma) and taste u·ith 25-
47 coefficiellts of variation and 0.59-0.87 Shannon Weaver index. Principal compm1e11t
analysis of qualitative traits and quallfitative traits of fruits sholl'ed the existence of a
collfinuum diversity of mango in Ne1}(ll with no ecogeograpflic differentiation and qualiwtive
traits were of importance in determining tile groupings and relationships rif mcmgo \'Orieties
under study. The ecogeographic survey findings and genetic di1•ersity results were discussed
relative to the efficient utilization and c:onsen•ation.Link for e-copy: http://elibrary.narc.gov.np/?r=453 Ecogeographic and Genetic Diversity Analysis of Mango in Nepal [printed text] / Subedi, A, Author ; Bajracharya, J., Author ; Regmi, H.N., Author ; H. B. K. C, Author ; Gupta, S.R., Author ; B.K. Joshi, Author . - [s.d.] . - 66-70 p.
Languages : English (eng)
Keywords: ccogcographic survey, genetic diversity, landraccs, diversity index Abstract: Mango is one of the important tropical fruits of Nepal ami occurs as a domesticated or ll'ild
entity in the complex of biotic community of the ecosystem. Wide ecological variation and
diverse needs of multi-ethnic comm1mities has enriched the country with genetic 1vealth of
diverse mango varieties and land races. The tropical plain, river gorge areas and sub-tropical
valleys are the regions that are rich in mango diversity. As a result, the global project on
"Strengthening scientific basis of in-situ consen•ation of agricultural biodiversity on-farm,
Nepal componellt" identified mango as a mandatol)' crop and under the project,
ecogeographic sun•ey and genetic di1•ersity was carried to measure the extent of diversity.
Siraha, Saptari, Dhading, Kavre, Parbat. Baglw1g and Dadeldlwra, the districts representing
the Terai and mid-hill ecosystems ll'ere surreyed for mango diversity. Fruit samples of 216
mango trees collected in ecogeographic sun•ey were evaluated for nineteen nwrplwlogical
characters of fruit to understand the genetic relationships. A mnge of \'(/riation e.risted in
varietalfrmit of mango with dijferellf shapes, co/ow; sizes,j7al'fmr (aroma) and taste u·ith 25-
47 coefficiellts of variation and 0.59-0.87 Shannon Weaver index. Principal compm1e11t
analysis of qualitative traits and quallfitative traits of fruits sholl'ed the existence of a
collfinuum diversity of mango in Ne1}(ll with no ecogeograpflic differentiation and qualiwtive
traits were of importance in determining tile groupings and relationships rif mcmgo \'Orieties
under study. The ecogeographic survey findings and genetic di1•ersity results were discussed
relative to the efficient utilization and c:onsen•ation.Link for e-copy: http://elibrary.narc.gov.np/?r=453 E-copies
http://nkcs.org.np/narc/dl/?r=453URL
in Proceedings of the Second National Soil Fertility Research Workshop, 24-25 March, 2015. Soil Science Division, NARC, Khumaltar, Lalitpur, Nepal / Krishna B. Karki
Title : Use of optical sensor for in-season nitrogen management and grain yield prediction in maize Material Type: printed text Authors: B.R. Baral, Author ; Adhikari, P, Author Pagination: 79-86 p. Languages : English (eng) Keywords: GDD grain N demand INSEY NDVI, response index Abstract: Precision agriculture technologies have developed optical sensors which can determine plant’s normalized difference vegetation index (NDVI).To evaluate the relationship between maize grain yield and early season NDVI readings, an experiment was conducted at farm land of National Maize Research Program, Rampur, Chitwan during winter season of 2012. Eight different levels of N 0, 30, 60, 90, 120, 150, 180 and 210 N kg ha-1 were applied for hybrid maize RML 32 X RML 17 to study grain yield response and NDVI measurement. Periodic NDVI was measured at 10 days interval from 55 days after sowing (DAS) to 115 DAS by using Green seeker hand held crop sensor……………..
Link for e-copy: http://elibrary.narc.gov.np/?r=1785 Use of optical sensor for in-season nitrogen management and grain yield prediction in maize [printed text] / B.R. Baral, Author ; Adhikari, P, Author . - [s.d.] . - 79-86 p.
in Proceedings of the Second National Soil Fertility Research Workshop, 24-25 March, 2015. Soil Science Division, NARC, Khumaltar, Lalitpur, Nepal / Krishna B. Karki
Languages : English (eng)
Keywords: GDD grain N demand INSEY NDVI, response index Abstract: Precision agriculture technologies have developed optical sensors which can determine plant’s normalized difference vegetation index (NDVI).To evaluate the relationship between maize grain yield and early season NDVI readings, an experiment was conducted at farm land of National Maize Research Program, Rampur, Chitwan during winter season of 2012. Eight different levels of N 0, 30, 60, 90, 120, 150, 180 and 210 N kg ha-1 were applied for hybrid maize RML 32 X RML 17 to study grain yield response and NDVI measurement. Periodic NDVI was measured at 10 days interval from 55 days after sowing (DAS) to 115 DAS by using Green seeker hand held crop sensor……………..
Link for e-copy: http://elibrary.narc.gov.np/?r=1785 E-copies
http://nkcs.org.np/narc/dl/?r=1785URL
