Ontology type: schema:ScholarlyArticle
2021-03-23
AUTHORSSuman Sarkar, Azariah Babu, Kaushik Chakraborty, Bhabesh Deka, Bishwapran Kashyap, Biplab Adhikary
ABSTRACTTo find out the varietal preference of H. talaca larvae, leaves of ten selected tea cultivars were provided separately to II, III, IV, and V instars. The food consumption by different larval instars was the maximum on TV20 followed by TV1 > K1/1 > TV22 > TV26 > TV16 > SNT8 > TS520 > HP12 > B157. The nutritional indices showed the highest ECD and ECI values on TV20 followed by other cultivars. However, AD values were inversely proportional to the ECI and ECD. Biochemical analysis of the host leaves indicated higher carbohydrate and lipid concentrations in TV20 which was positively correlated (r = 0.6351) with the mean food consumption, whereas, the lowest carbohydrate and lipid concentration was observed in TS520. The levels of secondary metabolites such as alkaloids (r = -0.6137) and flavonoids (r = -0.7403) showed a negative correlation with larval food consumption. Results of HPLC analysis showed the presence of different types of catechins like, EGC, Catechin, EC, EGCG, ECG, and caffeine in variable quantity in all cultivars that were positively correlated with larval feeding except the Gallic acid which showed a negative correlation (r = -0.5610). Based on the larval food consumption, the susceptible index of cultivars were categorized as ‘highly susceptible’ (TV20, TV1, K1/1, TV22, TV26, TV16, and SNT8), ‘susceptible’ (TS520 and HP12), and ‘moderately susceptible’ (B157). Based on cluster analysis A1 grouped (TS520 and HP12), A2 indicated B157 whereas sub-branches B1 grouped (TV22, TV16, TV26, and SNT8) and B2 grouped (TV1, TV20, and K1/1). More... »
PAGES3087-3098
http://scigraph.springernature.com/pub.10.1007/s42690-021-00502-x
DOIhttp://dx.doi.org/10.1007/s42690-021-00502-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1136620961
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Ecology",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.482359.1",
"name": [
"Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Sarkar",
"givenName": "Suman",
"id": "sg:person.012563634674.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012563634674.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.482359.1",
"name": [
"Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Babu",
"givenName": "Azariah",
"id": "sg:person.0662026566.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662026566.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Zoology, Raiganj University, 733134, Raiganj, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.460977.b",
"name": [
"Department of Zoology, Raiganj University, 733134, Raiganj, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Chakraborty",
"givenName": "Kaushik",
"id": "sg:person.015525574067.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015525574067.52"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.482359.1",
"name": [
"Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Deka",
"givenName": "Bhabesh",
"id": "sg:person.011157514407.88",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011157514407.88"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.482359.1",
"name": [
"Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Kashyap",
"givenName": "Bishwapran",
"id": "sg:person.01277247225.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277247225.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India",
"id": "http://www.grid.ac/institutes/grid.482359.1",
"name": [
"Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India"
],
"type": "Organization"
},
"familyName": "Adhikary",
"givenName": "Biplab",
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1017/s1742758400015320",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016267891",
"https://doi.org/10.1017/s1742758400015320"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1017/s174275841100035x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009931262",
"https://doi.org/10.1017/s174275841100035x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12600-013-0358-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021461473",
"https://doi.org/10.1007/s12600-013-0358-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10340-013-0485-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029787236",
"https://doi.org/10.1007/s10340-013-0485-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12600-021-00888-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1134826224",
"https://doi.org/10.1007/s12600-021-00888-x"
],
"type": "CreativeWork"
}
],
"datePublished": "2021-03-23",
"datePublishedReg": "2021-03-23",
"description": "To find out the varietal preference of H. talaca larvae, leaves of ten selected tea cultivars were provided separately to II, III, IV, and V instars. The food consumption by different\u00a0larval instars was the maximum on TV20 followed by TV1\u2009>\u2009K1/1\u2009>\u2009TV22\u2009>\u2009TV26\u2009>\u2009TV16\u2009>\u2009SNT8\u2009>\u2009TS520\u2009>\u2009HP12\u2009>\u2009B157. The nutritional indices showed the highest ECD and ECI values on TV20 followed by other cultivars. However, AD values were inversely proportional to the ECI and ECD. Biochemical analysis of the host leaves indicated higher carbohydrate and lipid concentrations in TV20 which was positively correlated (r\u2009=\u20090.6351) with the mean food consumption, whereas, the lowest carbohydrate and lipid concentration was observed in TS520. The levels of secondary metabolites such as alkaloids (r\u2009=\u2009-0.6137) and flavonoids (r\u2009=\u2009-0.7403) showed a negative correlation with larval food consumption. Results of HPLC analysis showed the presence of different types of catechins like, EGC, Catechin, EC, EGCG, ECG, and caffeine in variable quantity in all cultivars that were positively correlated with larval feeding except the Gallic acid which showed a negative correlation (r\u2009=\u2009-0.5610). Based on the larval food consumption, the susceptible index of cultivars were categorized as \u2018highly susceptible\u2019 (TV20, TV1, K1/1, TV22, TV26, TV16, and SNT8), \u2018susceptible\u2019 (TS520 and HP12), and \u2018moderately susceptible\u2019 (B157). Based on cluster analysis A1 grouped (TS520 and HP12), A2 indicated B157 whereas sub-branches B1 grouped (TV22, TV16, TV26, and SNT8) and B2 grouped (TV1, TV20, and K1/1).",
"genre": "article",
"id": "sg:pub.10.1007/s42690-021-00502-x",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1374185",
"issn": [
"1742-7584",
"1742-7592"
],
"name": "International Journal of Tropical Insect Science",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "41"
}
],
"keywords": [
"food consumption",
"nutritional index",
"lipid concentrations",
"mean food consumption",
"larval food consumption",
"negative correlation",
"low carbohydrate",
"high carbohydrate",
"biochemical analysis",
"SNT8",
"gallic acid",
"AD values",
"index",
"catechin",
"higher ECD",
"ECG",
"EGCG",
"HPLC analysis",
"carbohydrates",
"caffeine",
"correlation",
"metabolites",
"flavonoids",
"feeding",
"A2",
"ECI values",
"concentration",
"ECD",
"B1",
"consumption",
"A1",
"B2",
"levels",
"EGC",
"analysis",
"larval instars",
"TV1",
"different types",
"alkaloids",
"presence",
"acid",
"secondary metabolites",
"preferences",
"ECI",
"values",
"variable quantities",
"susceptible index",
"instars",
"types",
"EC",
"larvae",
"results",
"variety",
"larval feeding",
"HP12",
"tea varieties",
"tea cultivars",
"varietal preference",
"maximum",
"quantity",
"leaves",
"Hyposidra talaca",
"host leaves",
"cultivars",
"B157"
],
"name": "Study on varietal preference and nutritional indices of tea looper Hyposidra talaca (Lepidoptera: Geometridae) on ten selected tea varieties",
"pagination": "3087-3098",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1136620961"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s42690-021-00502-x"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s42690-021-00502-x",
"https://app.dimensions.ai/details/publication/pub.1136620961"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:37",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_889.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s42690-021-00502-x"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s42690-021-00502-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s42690-021-00502-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s42690-021-00502-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s42690-021-00502-x'
This table displays all metadata directly associated to this object as RDF triples.
182 TRIPLES
22 PREDICATES
95 URIs
82 LITERALS
6 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/s42690-021-00502-x | schema:about | anzsrc-for:06 |
2 | ″ | ″ | anzsrc-for:0602 |
3 | ″ | schema:author | N97c9b9f4015a4192be82e89ec38c39d0 |
4 | ″ | schema:citation | sg:pub.10.1007/s10340-013-0485-y |
5 | ″ | ″ | sg:pub.10.1007/s12600-013-0358-1 |
6 | ″ | ″ | sg:pub.10.1007/s12600-021-00888-x |
7 | ″ | ″ | sg:pub.10.1017/s1742758400015320 |
8 | ″ | ″ | sg:pub.10.1017/s174275841100035x |
9 | ″ | schema:datePublished | 2021-03-23 |
10 | ″ | schema:datePublishedReg | 2021-03-23 |
11 | ″ | schema:description | To find out the varietal preference of H. talaca larvae, leaves of ten selected tea cultivars were provided separately to II, III, IV, and V instars. The food consumption by different larval instars was the maximum on TV20 followed by TV1 > K1/1 > TV22 > TV26 > TV16 > SNT8 > TS520 > HP12 > B157. The nutritional indices showed the highest ECD and ECI values on TV20 followed by other cultivars. However, AD values were inversely proportional to the ECI and ECD. Biochemical analysis of the host leaves indicated higher carbohydrate and lipid concentrations in TV20 which was positively correlated (r = 0.6351) with the mean food consumption, whereas, the lowest carbohydrate and lipid concentration was observed in TS520. The levels of secondary metabolites such as alkaloids (r = -0.6137) and flavonoids (r = -0.7403) showed a negative correlation with larval food consumption. Results of HPLC analysis showed the presence of different types of catechins like, EGC, Catechin, EC, EGCG, ECG, and caffeine in variable quantity in all cultivars that were positively correlated with larval feeding except the Gallic acid which showed a negative correlation (r = -0.5610). Based on the larval food consumption, the susceptible index of cultivars were categorized as ‘highly susceptible’ (TV20, TV1, K1/1, TV22, TV26, TV16, and SNT8), ‘susceptible’ (TS520 and HP12), and ‘moderately susceptible’ (B157). Based on cluster analysis A1 grouped (TS520 and HP12), A2 indicated B157 whereas sub-branches B1 grouped (TV22, TV16, TV26, and SNT8) and B2 grouped (TV1, TV20, and K1/1). |
12 | ″ | schema:genre | article |
13 | ″ | schema:inLanguage | en |
14 | ″ | schema:isAccessibleForFree | false |
15 | ″ | schema:isPartOf | N307c1463315f43a691c0b1b2758ea7db |
16 | ″ | ″ | N95a167fd72bb4747af99c73e453ad10e |
17 | ″ | ″ | sg:journal.1374185 |
18 | ″ | schema:keywords | A1 |
19 | ″ | ″ | A2 |
20 | ″ | ″ | AD values |
21 | ″ | ″ | B1 |
22 | ″ | ″ | B157 |
23 | ″ | ″ | B2 |
24 | ″ | ″ | EC |
25 | ″ | ″ | ECD |
26 | ″ | ″ | ECG |
27 | ″ | ″ | ECI |
28 | ″ | ″ | ECI values |
29 | ″ | ″ | EGC |
30 | ″ | ″ | EGCG |
31 | ″ | ″ | HP12 |
32 | ″ | ″ | HPLC analysis |
33 | ″ | ″ | Hyposidra talaca |
34 | ″ | ″ | SNT8 |
35 | ″ | ″ | TV1 |
36 | ″ | ″ | acid |
37 | ″ | ″ | alkaloids |
38 | ″ | ″ | analysis |
39 | ″ | ″ | biochemical analysis |
40 | ″ | ″ | caffeine |
41 | ″ | ″ | carbohydrates |
42 | ″ | ″ | catechin |
43 | ″ | ″ | concentration |
44 | ″ | ″ | consumption |
45 | ″ | ″ | correlation |
46 | ″ | ″ | cultivars |
47 | ″ | ″ | different types |
48 | ″ | ″ | feeding |
49 | ″ | ″ | flavonoids |
50 | ″ | ″ | food consumption |
51 | ″ | ″ | gallic acid |
52 | ″ | ″ | high carbohydrate |
53 | ″ | ″ | higher ECD |
54 | ″ | ″ | host leaves |
55 | ″ | ″ | index |
56 | ″ | ″ | instars |
57 | ″ | ″ | larvae |
58 | ″ | ″ | larval feeding |
59 | ″ | ″ | larval food consumption |
60 | ″ | ″ | larval instars |
61 | ″ | ″ | leaves |
62 | ″ | ″ | levels |
63 | ″ | ″ | lipid concentrations |
64 | ″ | ″ | low carbohydrate |
65 | ″ | ″ | maximum |
66 | ″ | ″ | mean food consumption |
67 | ″ | ″ | metabolites |
68 | ″ | ″ | negative correlation |
69 | ″ | ″ | nutritional index |
70 | ″ | ″ | preferences |
71 | ″ | ″ | presence |
72 | ″ | ″ | quantity |
73 | ″ | ″ | results |
74 | ″ | ″ | secondary metabolites |
75 | ″ | ″ | susceptible index |
76 | ″ | ″ | tea cultivars |
77 | ″ | ″ | tea varieties |
78 | ″ | ″ | types |
79 | ″ | ″ | values |
80 | ″ | ″ | variable quantities |
81 | ″ | ″ | varietal preference |
82 | ″ | ″ | variety |
83 | ″ | schema:name | Study on varietal preference and nutritional indices of tea looper Hyposidra talaca (Lepidoptera: Geometridae) on ten selected tea varieties |
84 | ″ | schema:pagination | 3087-3098 |
85 | ″ | schema:productId | N35548682fb6d4c629a1dabe553131203 |
86 | ″ | ″ | N587cf2ecb0054bb387b6958b6ae8260d |
87 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1136620961 |
88 | ″ | ″ | https://doi.org/10.1007/s42690-021-00502-x |
89 | ″ | schema:sdDatePublished | 2022-05-20T07:37 |
90 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
91 | ″ | schema:sdPublisher | Nc4c33203185c45fbb1868d0119e062e5 |
92 | ″ | schema:url | https://doi.org/10.1007/s42690-021-00502-x |
93 | ″ | sgo:license | sg:explorer/license/ |
94 | ″ | sgo:sdDataset | articles |
95 | ″ | rdf:type | schema:ScholarlyArticle |
96 | N024deffce11943b0aeb71483ff9c1754 | rdf:first | sg:person.011157514407.88 |
97 | ″ | rdf:rest | Nc76e3b615a3b4a46a4754c2fbff3e3e2 |
98 | N2d468539f29d4bfbbc22ad17c4d5af04 | rdf:first | sg:person.015525574067.52 |
99 | ″ | rdf:rest | N024deffce11943b0aeb71483ff9c1754 |
100 | N307c1463315f43a691c0b1b2758ea7db | schema:volumeNumber | 41 |
101 | ″ | rdf:type | schema:PublicationVolume |
102 | N35548682fb6d4c629a1dabe553131203 | schema:name | doi |
103 | ″ | schema:value | 10.1007/s42690-021-00502-x |
104 | ″ | rdf:type | schema:PropertyValue |
105 | N587cf2ecb0054bb387b6958b6ae8260d | schema:name | dimensions_id |
106 | ″ | schema:value | pub.1136620961 |
107 | ″ | rdf:type | schema:PropertyValue |
108 | N95a167fd72bb4747af99c73e453ad10e | schema:issueNumber | 4 |
109 | ″ | rdf:type | schema:PublicationIssue |
110 | N97c9b9f4015a4192be82e89ec38c39d0 | rdf:first | sg:person.012563634674.55 |
111 | ″ | rdf:rest | Nb2cee35980064a5292114c83665c040c |
112 | Nb2cee35980064a5292114c83665c040c | rdf:first | sg:person.0662026566.33 |
113 | ″ | rdf:rest | N2d468539f29d4bfbbc22ad17c4d5af04 |
114 | Nb7e71f53a531471a9712ce267e8d687a | rdf:first | Nc3a77537fdc641ae862cc804086e0855 |
115 | ″ | rdf:rest | rdf:nil |
116 | Nc3a77537fdc641ae862cc804086e0855 | schema:affiliation | grid-institutes:grid.482359.1 |
117 | ″ | schema:familyName | Adhikary |
118 | ″ | schema:givenName | Biplab |
119 | ″ | rdf:type | schema:Person |
120 | Nc4c33203185c45fbb1868d0119e062e5 | schema:name | Springer Nature - SN SciGraph project |
121 | ″ | rdf:type | schema:Organization |
122 | Nc76e3b615a3b4a46a4754c2fbff3e3e2 | rdf:first | sg:person.01277247225.40 |
123 | ″ | rdf:rest | Nb7e71f53a531471a9712ce267e8d687a |
124 | anzsrc-for:06 | schema:inDefinedTermSet | anzsrc-for: |
125 | ″ | schema:name | Biological Sciences |
126 | ″ | rdf:type | schema:DefinedTerm |
127 | anzsrc-for:0602 | schema:inDefinedTermSet | anzsrc-for: |
128 | ″ | schema:name | Ecology |
129 | ″ | rdf:type | schema:DefinedTerm |
130 | sg:journal.1374185 | schema:issn | 1742-7584 |
131 | ″ | ″ | 1742-7592 |
132 | ″ | schema:name | International Journal of Tropical Insect Science |
133 | ″ | schema:publisher | Springer Nature |
134 | ″ | rdf:type | schema:Periodical |
135 | sg:person.011157514407.88 | schema:affiliation | grid-institutes:grid.482359.1 |
136 | ″ | schema:familyName | Deka |
137 | ″ | schema:givenName | Bhabesh |
138 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011157514407.88 |
139 | ″ | rdf:type | schema:Person |
140 | sg:person.012563634674.55 | schema:affiliation | grid-institutes:grid.482359.1 |
141 | ″ | schema:familyName | Sarkar |
142 | ″ | schema:givenName | Suman |
143 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012563634674.55 |
144 | ″ | rdf:type | schema:Person |
145 | sg:person.01277247225.40 | schema:affiliation | grid-institutes:grid.482359.1 |
146 | ″ | schema:familyName | Kashyap |
147 | ″ | schema:givenName | Bishwapran |
148 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277247225.40 |
149 | ″ | rdf:type | schema:Person |
150 | sg:person.015525574067.52 | schema:affiliation | grid-institutes:grid.460977.b |
151 | ″ | schema:familyName | Chakraborty |
152 | ″ | schema:givenName | Kaushik |
153 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015525574067.52 |
154 | ″ | rdf:type | schema:Person |
155 | sg:person.0662026566.33 | schema:affiliation | grid-institutes:grid.482359.1 |
156 | ″ | schema:familyName | Babu |
157 | ″ | schema:givenName | Azariah |
158 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662026566.33 |
159 | ″ | rdf:type | schema:Person |
160 | sg:pub.10.1007/s10340-013-0485-y | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1029787236 |
161 | ″ | ″ | https://doi.org/10.1007/s10340-013-0485-y |
162 | ″ | rdf:type | schema:CreativeWork |
163 | sg:pub.10.1007/s12600-013-0358-1 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1021461473 |
164 | ″ | ″ | https://doi.org/10.1007/s12600-013-0358-1 |
165 | ″ | rdf:type | schema:CreativeWork |
166 | sg:pub.10.1007/s12600-021-00888-x | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1134826224 |
167 | ″ | ″ | https://doi.org/10.1007/s12600-021-00888-x |
168 | ″ | rdf:type | schema:CreativeWork |
169 | sg:pub.10.1017/s1742758400015320 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1016267891 |
170 | ″ | ″ | https://doi.org/10.1017/s1742758400015320 |
171 | ″ | rdf:type | schema:CreativeWork |
172 | sg:pub.10.1017/s174275841100035x | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1009931262 |
173 | ″ | ″ | https://doi.org/10.1017/s174275841100035x |
174 | ″ | rdf:type | schema:CreativeWork |
175 | grid-institutes:grid.460977.b | schema:alternateName | Department of Zoology, Raiganj University, 733134, Raiganj, West Bengal, India |
176 | ″ | schema:name | Department of Zoology, Raiganj University, 733134, Raiganj, West Bengal, India |
177 | ″ | rdf:type | schema:Organization |
178 | grid-institutes:grid.482359.1 | schema:alternateName | Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India |
179 | ″ | ″ | Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India |
180 | ″ | schema:name | Department of Biochemistry, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India |
181 | ″ | ″ | Department of Entomology, Tea Research Association, North Bengal Regional R & D Centre, 735225, Nagrakata, Jalpaiguri, West Bengal, India |
182 | ″ | rdf:type | schema:Organization |