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| f | 1 | { | f | 1 | { |
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| 4 | "alternate_identifier": "DOI: 10.1016/j.scienta.2014.02.021", | 4 | "alternate_identifier": "DOI: 10.1016/j.scienta.2014.02.021", | ||
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| 8 | "author": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y P\u00e9rez | 8 | "author": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y P\u00e9rez | ||
| 9 | Pastor, A.", | 9 | Pastor, A.", | ||
| 10 | "author_email": "jmrosa@irnase.csic.es", | 10 | "author_email": "jmrosa@irnase.csic.es", | ||
| 11 | "author_name": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y | 11 | "author_name": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y | ||
| 12 | P\u00e9rez Pastor, A.", | 12 | P\u00e9rez Pastor, A.", | ||
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| 37 | "created": "2024-11-05", | 37 | "created": "2024-11-05", | ||
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| 39 | { | 39 | { | ||
| 40 | "email": "jmrosa@irnase.csic.es", | 40 | "email": "jmrosa@irnase.csic.es", | ||
| 41 | "name": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y | 41 | "name": "De la Rosa, J.M., Conesa, M.R., Domingo, R. y | ||
| 42 | P\u00e9rez Pastor, A." | 42 | P\u00e9rez Pastor, A." | ||
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| 61 | "agricultura", | 61 | "agricultura", | ||
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| 69 | "license_title": "Creative Commons Attribution", | 69 | "license_title": "Creative Commons Attribution", | ||
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| 71 | "lineage_source": [ | 71 | "lineage_source": [ | ||
| 72 | "Scientia Horticulturae", | 72 | "Scientia Horticulturae", | ||
| 73 | "vol 169", | 73 | "vol 169", | ||
| 74 | "147-153" | 74 | "147-153" | ||
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| 84 | "es": "" | 84 | "es": "" | ||
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| 86 | "miteco_data_territory": { | 86 | "miteco_data_territory": { | ||
| 87 | "es": "" | 87 | "es": "" | ||
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| 89 | "miteco_dataset_type": | 89 | "miteco_dataset_type": | ||
| 90 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | 90 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | ||
| 91 | "miteco_geo_level": "1", | 91 | "miteco_geo_level": "1", | ||
| 92 | "modified": "2026-06-23", | 92 | "modified": "2026-06-23", | ||
| 93 | "name": "fcbbcbe4-b0fa-512a-afa8-6593ec9f385f", | 93 | "name": "fcbbcbe4-b0fa-512a-afa8-6593ec9f385f", | ||
| 94 | "notes": "The sensitivity to water stress ofdifferentplant water | 94 | "notes": "The sensitivity to water stress ofdifferentplant water | ||
| 95 | indicators was evaluatedduring the latepostharvest period of | 95 | indicators was evaluatedduring the latepostharvest period of | ||
| 96 | extra-early nectarine trees growing in a commercial orchard and | 96 | extra-early nectarine trees growing in a commercial orchard and | ||
| 97 | submitted to two irrigation treatments: (i) a control (TC), irrigated | 97 | submitted to two irrigation treatments: (i) a control (TC), irrigated | ||
| 98 | at 120% of crop evapotranspiration to avoid any soil water limita | 98 | at 120% of crop evapotranspiration to avoid any soil water limita | ||
| 99 | tions, and (ii) a water deficit treatment (TD), irrigated at 50% of | 99 | tions, and (ii) a water deficit treatment (TD), irrigated at 50% of | ||
| 100 | TC. The plant indicators studied were: the maximum daily trunk | 100 | TC. The plant indicators studied were: the maximum daily trunk | ||
| 101 | shrinkage (MDS); trunk growth rate (TGR); midday stem water potential | 101 | shrinkage (MDS); trunk growth rate (TGR); midday stem water potential | ||
| 102 | ( stem); leaf conductance (Gs); and net photosynthesis (Pn). Although | 102 | ( stem); leaf conductance (Gs); and net photosynthesis (Pn). Although | ||
| 103 | the highest signal intensity (SI) values \u2013 the ratio of deficit | 103 | the highest signal intensity (SI) values \u2013 the ratio of deficit | ||
| 104 | irrigation treatment values to control values \u2013 were reached by | 104 | irrigation treatment values to control values \u2013 were reached by | ||
| 105 | TGR, Gs and Pn (2.6, 3 and 2.9, respectively), the sensitivity (S) | 105 | TGR, Gs and Pn (2.6, 3 and 2.9, respectively), the sensitivity (S) | ||
| 106 | values \u2013 calculated as the ratio of SI to coefficient of | 106 | values \u2013 calculated as the ratio of SI to coefficient of | ||
| 107 | variation (SI CV\u22121) \u2013 were higher in stem and MDS (14 and | 107 | variation (SI CV\u22121) \u2013 were higher in stem and MDS (14 and | ||
| 108 | 11.4, respectively), since their CV values were the lowest (11 and | 108 | 11.4, respectively), since their CV values were the lowest (11 and | ||
| 109 | 14%, respectively). A new approach (S*) is proposed to calculate the | 109 | 14%, respectively). A new approach (S*) is proposed to calculate the | ||
| 110 | sensitivity of the plant water indicators, since the standard method | 110 | sensitivity of the plant water indicators, since the standard method | ||
| 111 | can result in high sensitivity values without identifying differences | 111 | can result in high sensitivity values without identifying differences | ||
| 112 | between irrigation treatments. While S is more influenced by the CV | 112 | between irrigation treatments. While S is more influenced by the CV | ||
| 113 | values, S* would be influenced by both the SI and CV values.", | 113 | values, S* would be influenced by both the SI and CV values.", | ||
| 114 | "notes_translated": { | 114 | "notes_translated": { | ||
| 115 | "es": "The sensitivity to water stress ofdifferentplant water | 115 | "es": "The sensitivity to water stress ofdifferentplant water | ||
| 116 | indicators was evaluatedduring the latepostharvest period of | 116 | indicators was evaluatedduring the latepostharvest period of | ||
| 117 | extra-early nectarine trees growing in a commercial orchard and | 117 | extra-early nectarine trees growing in a commercial orchard and | ||
| 118 | submitted to two irrigation treatments: (i) a control (TC), irrigated | 118 | submitted to two irrigation treatments: (i) a control (TC), irrigated | ||
| 119 | at 120% of crop evapotranspiration to avoid any soil water limita | 119 | at 120% of crop evapotranspiration to avoid any soil water limita | ||
| 120 | tions, and (ii) a water deficit treatment (TD), irrigated at 50% of | 120 | tions, and (ii) a water deficit treatment (TD), irrigated at 50% of | ||
| 121 | TC. The plant indicators studied were: the maximum daily trunk | 121 | TC. The plant indicators studied were: the maximum daily trunk | ||
| 122 | shrinkage (MDS); trunk growth rate (TGR); midday stem water potential | 122 | shrinkage (MDS); trunk growth rate (TGR); midday stem water potential | ||
| 123 | ( stem); leaf conductance (Gs); and net photosynthesis (Pn). Although | 123 | ( stem); leaf conductance (Gs); and net photosynthesis (Pn). Although | ||
| 124 | the highest signal intensity (SI) values \u2013 the ratio of deficit | 124 | the highest signal intensity (SI) values \u2013 the ratio of deficit | ||
| 125 | irrigation treatment values to control values \u2013 were reached by | 125 | irrigation treatment values to control values \u2013 were reached by | ||
| 126 | TGR, Gs and Pn (2.6, 3 and 2.9, respectively), the sensitivity (S) | 126 | TGR, Gs and Pn (2.6, 3 and 2.9, respectively), the sensitivity (S) | ||
| 127 | values \u2013 calculated as the ratio of SI to coefficient of | 127 | values \u2013 calculated as the ratio of SI to coefficient of | ||
| 128 | variation (SI CV\u22121) \u2013 were higher in stem and MDS (14 and | 128 | variation (SI CV\u22121) \u2013 were higher in stem and MDS (14 and | ||
| 129 | 11.4, respectively), since their CV values were the lowest (11 and | 129 | 11.4, respectively), since their CV values were the lowest (11 and | ||
| 130 | 14%, respectively). A new approach (S*) is proposed to calculate the | 130 | 14%, respectively). A new approach (S*) is proposed to calculate the | ||
| 131 | sensitivity of the plant water indicators, since the standard method | 131 | sensitivity of the plant water indicators, since the standard method | ||
| 132 | can result in high sensitivity values without identifying differences | 132 | can result in high sensitivity values without identifying differences | ||
| 133 | between irrigation treatments. While S is more influenced by the CV | 133 | between irrigation treatments. While S is more influenced by the CV | ||
| 134 | values, S* would be influenced by both the SI and CV values." | 134 | values, S* would be influenced by both the SI and CV values." | ||
| 135 | }, | 135 | }, | ||
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| 233 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | 233 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | ||
| 234 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | 234 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | ||
| 235 | 27.64]]]}", | 235 | 27.64]]]}", | ||
| 236 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-6.92, | 236 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-6.92, | ||
| 237 | 35.715]}", | 237 | 35.715]}", | ||
| 238 | "text": "Espa\u00f1a", | 238 | "text": "Espa\u00f1a", | ||
| 239 | "uri": | 239 | "uri": | ||
| 240 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 240 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
| 241 | } | 241 | } | ||
| 242 | ], | 242 | ], | ||
| 243 | "spatial_uri": | 243 | "spatial_uri": | ||
| 244 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 244 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 245 | "state": "active", | 245 | "state": "active", | ||
| 246 | "study_variables": { | 246 | "study_variables": { | ||
| 247 | "es": "" | 247 | "es": "" | ||
| 248 | }, | 248 | }, | ||
| 249 | "tag_uri": [ | 249 | "tag_uri": [ | ||
| 250 | 250 | ||||
| 251 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 251 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 252 | ], | 252 | ], | ||
| 253 | "tags": [ | 253 | "tags": [ | ||
| 254 | { | 254 | { | ||
| 255 | "display_name": "agricultura", | 255 | "display_name": "agricultura", | ||
| 256 | "id": "34809f0c-ffb1-4169-a701-6e9b9b10278b", | 256 | "id": "34809f0c-ffb1-4169-a701-6e9b9b10278b", | ||
| 257 | "name": "agricultura", | 257 | "name": "agricultura", | ||
| 258 | "state": "active", | 258 | "state": "active", | ||
| 259 | "vocabulary_id": null | 259 | "vocabulary_id": null | ||
| 260 | }, | 260 | }, | ||
| 261 | { | 261 | { | ||
| 262 | "display_name": "cultivos", | 262 | "display_name": "cultivos", | ||
| 263 | "id": "548d273f-b76d-4cd2-9f9a-4e12caea3458", | 263 | "id": "548d273f-b76d-4cd2-9f9a-4e12caea3458", | ||
| 264 | "name": "cultivos", | 264 | "name": "cultivos", | ||
| 265 | "state": "active", | 265 | "state": "active", | ||
| 266 | "vocabulary_id": null | 266 | "vocabulary_id": null | ||
| 267 | }, | 267 | }, | ||
| 268 | { | 268 | { | ||
| 269 | "display_name": "fisologia", | 269 | "display_name": "fisologia", | ||
| 270 | "id": "fdfba216-a41a-493a-a1b4-2f9b1c836826", | 270 | "id": "fdfba216-a41a-493a-a1b4-2f9b1c836826", | ||
| 271 | "name": "fisologia", | 271 | "name": "fisologia", | ||
| 272 | "state": "active", | 272 | "state": "active", | ||
| 273 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
| 274 | }, | 274 | }, | ||
| 275 | { | 275 | { | ||
| 276 | "display_name": "marino", | 276 | "display_name": "marino", | ||
| 277 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | 277 | "id": "004084d1-68d8-46ca-842a-c10278540bc9", | ||
| 278 | "name": "marino", | 278 | "name": "marino", | ||
| 279 | "state": "active", | 279 | "state": "active", | ||
| 280 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
| 281 | }, | 281 | }, | ||
| 282 | { | 282 | { | ||
| 283 | "display_name": "medicion", | 283 | "display_name": "medicion", | ||
| 284 | "id": "db81808a-b2ee-47eb-b065-810c28f0a206", | 284 | "id": "db81808a-b2ee-47eb-b065-810c28f0a206", | ||
| 285 | "name": "medicion", | 285 | "name": "medicion", | ||
| 286 | "state": "active", | 286 | "state": "active", | ||
| 287 | "vocabulary_id": null | 287 | "vocabulary_id": null | ||
| 288 | } | 288 | } | ||
| 289 | ], | 289 | ], | ||
| 290 | "thematic_area": [ | 290 | "thematic_area": [ | ||
| 291 | "espacios_protegidos" | 291 | "espacios_protegidos" | ||
| 292 | ], | 292 | ], | ||
| 293 | "theme_es": [ | 293 | "theme_es": [ | ||
| 294 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 294 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 295 | ], | 295 | ], | ||
| 296 | "title": "A new approach to ascertain the sensitivity to water | 296 | "title": "A new approach to ascertain the sensitivity to water | ||
| 297 | stress of different plant water indicators in extra-early nectarine | 297 | stress of different plant water indicators in extra-early nectarine | ||
| 298 | trees", | 298 | trees", | ||
| 299 | "title_translated": { | 299 | "title_translated": { | ||
| 300 | "es": "A new approach to ascertain the sensitivity to water stress | 300 | "es": "A new approach to ascertain the sensitivity to water stress | ||
| 301 | of different plant water indicators in extra-early nectarine trees" | 301 | of different plant water indicators in extra-early nectarine trees" | ||
| 302 | }, | 302 | }, | ||
| 303 | "topic": | 303 | "topic": | ||
| 304 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 304 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 305 | "type": "dataset", | 305 | "type": "dataset", | ||
| 306 | "url": | 306 | "url": | ||
| 307 | //iepnb.es:443/catalogo/dataset/fcbbcbe4-b0fa-512a-afa8-6593ec9f385f", | 307 | //iepnb.es:443/catalogo/dataset/fcbbcbe4-b0fa-512a-afa8-6593ec9f385f", | ||
| 308 | "version_notes": { | 308 | "version_notes": { | ||
| 309 | "es": "" | 309 | "es": "" | ||
| 310 | } | 310 | } | ||
| 311 | } | 311 | } |