Crop Nutrient Data Ludemann et al 2022 - Revision history

Hendrik at 15:21, 10 October 2024

2024-10-10T15:21:54Z

← Older revision		Revision as of 15:21, 10 October 2024
Line 31:		Line 31:


	=== ~~Phenology~~ ===		=== CROP_DEV_BBCH ===
	Attribute: Date_sowing_YYYYMMDD (Sowing date in YYYYMMDD format) and Date_harvest_YYYYMMDD (Harvest date in YYYYMMDD format)<br>		Attribute: Date_sowing_YYYYMMDD (Sowing date in YYYYMMDD format) and Date_harvest_YYYYMMDD (Harvest date in YYYYMMDD format)<br>
	Remark: Harvest date is also used as the date of the plant density, yield and above ground biomass		Remark: Harvest date is also used as the date of the plant density, yield and above ground biomass

Hendrik at 15:21, 10 October 2024

2024-10-10T15:21:23Z

@@ Line 31: / Line 31: @@
 The management was treated as follows:
 * FieldManagementType = FIELD_TRIAL
@@ Line 59: / Line 79: @@
 Note that this indication of optimal or suboptimal management is rather uncertain and must be used with care. We advise to also consult the original data (Summary_statistics_data_from_articles.csv)  which is easily found through the record ID.

Hendrik at 15:18, 10 October 2024

2024-10-10T15:18:08Z

← Older revision		Revision as of 15:18, 10 October 2024
Line 72:		Line 72:


			=== Crop yield ===
			Attribute: CPY_mean_kg_fresh_ha (Mean crop product, kg per ha in fresh weight), CPY_mean_kg_DM_ha (Mean crop product, kg per ha in dry weight)<br>
			Remark: Harvest date is used as the date of the observed crop yield

	~~Attributes:~~

	~~Harvest_density_Plants_m2 (Density of plants at harvest, plants per m2)~~		=== Above ground biomass ===
	~~CPY_mean_kg_fresh_ha (Mean crop product, kg per ha in fresh weight)~~		Attribute: AGY_mean_kg_fresh_ha (Mean above ground biomass, kg per ha in fresh weight), AGY_mean_kg_DM_ha (Mean above ground biomass, kg per ha in dry weight)<br>
	AGY_mean_kg_fresh_ha (Mean above ground biomass, kg per ha in fresh weight)		Remark: Harvest date is used as the date of the observed above ground biomass
	~~CPY_mean_kg_DM_ha (Mean crop product~~, ~~kg per ha in dry weight)~~
	AGY_mean_kg_DM_ha (Mean above ground biomass, kg per ha in dry weight)

Hendrik at 15:15, 10 October 2024

2024-10-10T15:15:27Z

← Older revision		Revision as of 15:15, 10 October 2024
Line 64:		Line 64:
	=== Phenology ===		=== Phenology ===
	Attribute: Date_sowing_YYYYMMDD (Sowing date in YYYYMMDD format) and Date_harvest_YYYYMMDD (Harvest date in YYYYMMDD format)<br>		Attribute: Date_sowing_YYYYMMDD (Sowing date in YYYYMMDD format) and Date_harvest_YYYYMMDD (Harvest date in YYYYMMDD format)<br>
	Remark: Harvest ~~data~~ is also used as the date of the plant density, yield and above ground biomass		Remark: Harvest date is also used as the date of the plant density, yield and above ground biomass


			=== Plant density ===
			Attribute: Harvest_density_Plants_m2 (Density of plants at harvest, plants per m2)<br>
			Remark: Harvest date is used as the date of the observed plant density

Hendrik: /* Pre-processing */

2024-10-10T15:13:58Z

Pre-processing

← Older revision		Revision as of 15:13, 10 October 2024
Line 55:		Line 55:

	The treatment with the highest application was labelled optimal while the other treatments, having lower application values, were labelled as suboptimal. In case these experiments had relative high application value of the other main inputs (nutrients, water), these inputs were also labelled as optimal. In case all N, P and K were labelled as optimal the nutrient management as a whole was also labelled optimal, otherwise suboptimal. Note that some experiments were not yet included because of time constraints (multiple experiments that share one objective).		The treatment with the highest application was labelled optimal while the other treatments, having lower application values, were labelled as suboptimal. In case these experiments had relative high application value of the other main inputs (nutrients, water), these inputs were also labelled as optimal. In case all N, P and K were labelled as optimal the nutrient management as a whole was also labelled optimal, otherwise suboptimal. Note that some experiments were not yet included because of time constraints (multiple experiments that share one objective).

			In all other cases (other experiments) the management was labelled as unknown.


	Note that this indication of optimal or suboptimal management is rather uncertain and must be used with care. We advise to also consult the original data (Summary_statistics_data_from_articles.csv) which is easily found through the record ID.		Note that this indication of optimal or suboptimal management is rather uncertain and must be used with care. We advise to also consult the original data (Summary_statistics_data_from_articles.csv) which is easily found through the record ID.


	~~In all other cases (other experiments) the management was labelled as unknown.~~

Hendrik: /* Pre-processing */

2024-10-10T15:12:41Z

Pre-processing

← Older revision		Revision as of 15:12, 10 October 2024
Line 42:		Line 42:

	With regard to nutrient and water management, we tried to indicate if the treatment of an experiment was optimal or suboptimal for nitrogen (N), phosphorus (P), potassium (K), nutrient (N/P/K) and water management. Therefore, we used the values of the attributes:		With regard to nutrient and water management, we tried to indicate if the treatment of an experiment was optimal or suboptimal for nitrogen (N), phosphorus (P), potassium (K), nutrient (N/P/K) and water management. Therefore, we used the values of the attributes:
			* Experimental_objective_Description
	* Fertiliser_N_kg_N_ha		* Fertiliser_N_kg_N_ha
	* Fertiliser_P_kg_P_ha		* Fertiliser_P_kg_P_ha

Hendrik: /* Pre-processing */

2024-10-10T15:10:54Z

Pre-processing

Hendrik at 15:10, 10 October 2024

2024-10-10T15:10:16Z

← Older revision		Revision as of 15:10, 10 October 2024
Line 25:		Line 25:
	* Objective of the experiment		* Objective of the experiment

	The combination DOI and location determines an experiment. Each experiment can have one or multiple treatments. Each treatment is an observation identified by the record ID (of the original dataset named Summary_statistics_data_from_articles.csv).		The combination DOI and location determines an experiment. Each experiment can have one or multiple treatments. Each treatment is an observation identified by the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv).

	The management was treated as follows:		The management was treated as follows:

Hendrik at 15:09, 10 October 2024

2024-10-10T15:09:09Z

@@ Line 13: / Line 13: @@
 == Pre-processing  ==
 Original data filtered:
-* xxx
+* in case the location is missing (latitude and longitude)
-xxxx
+The name of an observation is a combination of the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv) and the string “Ludemann_et_al_2024” e.g. Ludemann_et_al_2024_1.
-=== CROP_DEV_BBCH = 00 (planting) ===
+The combination DOI and location determines an experiment. Each experiment can have one or multiple treatments. Each treatment is an observation identified by the record ID (of the original dataset named Summary_statistics_data_from_articles.csv).
-Attribute: xxx<br>
-Remark: xxx
+The management was treated as follows:

Hendrik at 13:42, 10 October 2024

2024-10-10T13:42:32Z

← Older revision		Revision as of 13:42, 10 October 2024
Line 1:		Line 1:
			Summary statistics data from a range of articles found in the scientific literature related to crop harvest index and nutrient concentrations of crop products (e.g. beans and grain) and crop residues (straw and stover).

			== Provider's website ==
			[https://doi.org/10.5061/dryad.djh9w0w4m https://doi.org/10.5061/dryad.djh9w0w4m]

			[https://doi.org/10.1016/j.fcr.2022.108578 https://doi.org/10.1016/j.fcr.2022.108578]

			== Documentation ==
			Ludemann, C.I, Hijbeek, R., van Loon, M., Murrell, T.S., Dobermann, A. and van Ittersum, M. (2024), Published field experimental data of crop yields, nutrient concentrations, and harvest indices from around the world.

			Ludemann CI, Hijbeek R, van Loon MP, Murrell TS, Dobermann A, van Ittersum MK. 2022. Estimating maize harvest index and nitrogen concentrations in grain and residue using globally available data. Field Crops Research 284: 1-25.

			== Pre-processing ==
			Original data filtered:
			* xxx

	xxxx		xxxx


			=== CROP_DEV_BBCH = 00 (planting) ===
			Attribute: xxx<br>
			Remark: xxx

← Older revision		Revision as of 15:10, 10 October 2024
Line 16:		Line 16:
	* in case both sowing and harvest date are missing		* in case both sowing and harvest date are missing
	* in case the crop type (attribute Crop_standardised) is missing		* in case the crop type (attribute Crop_standardised) is missing


	The name of an observation is a combination of the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv) and the string “Ludemann_et_al_2024” e.g. Ludemann_et_al_2024_1.		The name of an observation is a combination of the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv) and the string “Ludemann_et_al_2024” e.g. Ludemann_et_al_2024_1.


	The comment is based:		The comment is based:
Line 24:		Line 26:
	* Location (latitude and longitude in decimal degrees)		* Location (latitude and longitude in decimal degrees)
	* Objective of the experiment		* Objective of the experiment


	The combination DOI and location determines an experiment. Each experiment can have one or multiple treatments. Each treatment is an observation identified by the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv).		The combination DOI and location determines an experiment. Each experiment can have one or multiple treatments. Each treatment is an observation identified by the record ID (simply the row number of the original dataset named Summary_statistics_data_from_articles.csv).


	The management was treated as follows:		The management was treated as follows:
Line 35:		Line 39:
	* WaterManagementType = see below		* WaterManagementType = see below
	* PestsDiseasesManagementType = UNKNOWN		* PestsDiseasesManagementType = UNKNOWN


	With regard to nutrient and water management, we tried to indicate if the treatment of an experiment was optimal or suboptimal for nitrogen (N), phosphorus (P), potassium (K), nutrient (N/P/K) and water management. Therefore, we used the values of the attributes:		With regard to nutrient and water management, we tried to indicate if the treatment of an experiment was optimal or suboptimal for nitrogen (N), phosphorus (P), potassium (K), nutrient (N/P/K) and water management. Therefore, we used the values of the attributes:
Line 41:		Line 46:
	* Fertiliser_K_kg_K_ha		* Fertiliser_K_kg_K_ha
	* Actual_irrigation_mm		* Actual_irrigation_mm


	This was done for experiments that studied varying N, P, K or irrigation applications. The assumption is that experiments that vary nutrient or water have one treatment that is optimal for the varying factor. The experiments were identified by checking:		This was done for experiments that studied varying N, P, K or irrigation applications. The assumption is that experiments that vary nutrient or water have one treatment that is optimal for the varying factor. The experiments were identified by checking:
	* the objective of the experiment (e.g. studying effect of varying N-application)		* the objective of the experiment (e.g. studying effect of varying N-application)
	* clear variation of N, P, K or irrigation application		* clear variation of N, P, K or irrigation application


	The treatment with the highest application was labelled optimal while the other treatments, having lower application values, were labelled as suboptimal. In case these experiments had relative high application value of the other main inputs (nutrients, water), these inputs were also labelled as optimal. In case all N, P and K were labelled as optimal the nutrient management as a whole was also labelled optimal, otherwise suboptimal. Note that some experiments were not yet included because of time constraints (multiple experiments that share one objective).		The treatment with the highest application was labelled optimal while the other treatments, having lower application values, were labelled as suboptimal. In case these experiments had relative high application value of the other main inputs (nutrients, water), these inputs were also labelled as optimal. In case all N, P and K were labelled as optimal the nutrient management as a whole was also labelled optimal, otherwise suboptimal. Note that some experiments were not yet included because of time constraints (multiple experiments that share one objective).


	Note that this indication of optimal or suboptimal management is rather uncertain and must be used with care. We advise to also consult the original data (Summary_statistics_data_from_articles.csv) which is easily found through the record ID.		Note that this indication of optimal or suboptimal management is rather uncertain and must be used with care. We advise to also consult the original data (Summary_statistics_data_from_articles.csv) which is easily found through the record ID.


	In all other cases (other experiments) the management was labelled as unknown.		In all other cases (other experiments) the management was labelled as unknown.


	=== Phenology ===		=== Phenology ===